50 Etl Engineer jobs in Ireland

Lead the design, delivery, and operations of high-impact data and analytics solutions for an innovative healthcare client. You'll manage a team of data engineers, analysts, and scientists, driving innovation in data infrastructure, tools, and reporting. This role blends strategic vision with hands-on technical leadership, fostering collaboration, mentoring talent, and ensuring best-in-class data products that support healthcare business goals.

• Partner with the Group Chief Data Officer to shape and execute the company's Data Strategy, aligning with business goals and driving data-informed decision-making
• Work cross-functionally to uncover business challenges and translate them into actionable insights through analytics
• Implement and uphold Data Ops best practices to ensure reliable, high-quality data availability
• Manage and document optimized data pipelines, reporting tables, storage solutions, and model deployments
• Manage and maintain data infrastructure including Azure, dbt, Microsoft Fabric, and related ETL/ELT, ML/AI, and storage tools
• Advance Data Science and ML/AI Ops capabilities, guiding use case development, model deployment, and pipeline optimization
• Maintain centralized documentation and code repositories for all data solutions
• Collaborate with product owners to prioritize sprint features and manage technical requirements
• Ensure ongoing compliance with data governance, security, and architectural standards
• Lead a high-performing team of data engineers, analysts, and scientists
• Provide mentorship, guidance, and feedback to foster a collaborative and growth-oriented culture

• 5+ years' experience in senior data engineering or similar roles within fast-paced, data-driven environments
• Advanced degree (Master's/PhD) in Science, Engineering, Computer Science, or quantitative field
• Technical background with expertise in data engineering, machine learning, statistics, Data/ML Ops and analytics
• Proficient in SQL, Python, PySpark, and R
• Deep experience with modern data platforms including Azure, Microsoft Fabric, Databricks, dbt, and Power BI
• Proven track record delivering solutions across cloud, on-prem, and distributed systems

• Bonus
• Pension

Our Talent Management solutions are people-led and expertise-driven. We understand the importance of people within a business and work closely with our clients to ensure that their people solutions bring their business strategies to life.

Our offering is different. The future of work is demanding a flexible and quality-driven model and we have created solutions that not only facilitate flexibility but actually foster agility, innovation and most importantly results.

We have a community of experienced, qualified and skilled professionals who we match to client assignments focussing not only on relevant skills but also on our value-added services.

We are part of the global HR-Path network, with partner companies who specialise in HR, Business & Technology Consulting, bringing in-depth knowledge of regulatory changes, evolving market trends and technology breakthroughs across our international network.

Lead the design, delivery, and operations of high-impact data and analytics solutions for an innovative healthcare client. You'll manage a team of data engineers, analysts, and scientists, driving innovation in data infrastructure, tools, and reporting. This role blends strategic vision with hands-on technical leadership, fostering collaboration, mentoring talent, and ensuring best-in-class data products that support healthcare business goals.

Key Responsibilities

• Partner with the Group Chief Data Officer to shape and execute the company's Data Strategy, aligning with business goals and driving data-informed decision-making
• Work cross-functionally to uncover business challenges and translate them into actionable insights through analytics
• Implement and uphold Data Ops best practices to ensure reliable, high-quality data availability
• Manage and document optimized data pipelines, reporting tables, storage solutions, and model deployments
• Manage and maintain data infrastructure including
  Azure, dbt, Microsoft Fabric
  , and related ETL/ELT, ML/AI, and storage tools
• Advance Data Science and ML/AI Ops capabilities, guiding use case development, model deployment, and pipeline optimization
• Maintain centralized documentation and code repositories for all data solutions
• Collaborate with product owners to prioritize sprint features and manage technical requirements
• Ensure ongoing compliance with data governance, security, and architectural standards
• Lead a high-performing team of data engineers, analysts, and scientists
• Provide mentorship, guidance, and feedback to foster a collaborative and growth-oriented culture

Skills, Knowledge and Expertise

• 5+ years' experience in senior data engineering or similar roles within fast-paced, data-driven environments
• Advanced degree (Master's/PhD) in Science, Engineering, Computer Science, or quantitative field
• Technical background with expertise in data engineering, machine learning, statistics, Data/ML Ops and analytics
• Proficient in SQL, Python, PySpark, and R
• Deep experience with modern data platforms including
  Azure, Microsoft Fabric, Databricks, dbt, and Power BI
• Proven track record delivering solutions across cloud, on-prem, and distributed systems

PTSB is one of Ireland's leading retail and SME banks, with an innovative range of products and services powered through an evolving digital landscape, our focus is centred on ensuring we deliver what our customers, colleagues and communities need to be successful.

As a Data Engineering Tester, you will be responsible for ensuring that data pipelines, integrations, transformations, and platforms meet quality, performance, and compliance standards before they are deployed into production. You will work closely with data engineers, business analysts, architects, and business stakeholders to design and execute test plans, validate data integrity, and confirm that solutions are fit for purpose.

Responsibilities:

• Design, implement, and execute test cases for data ingestions, transformation, and storage processes.
• Perform data validation and verification to ensure data accuracy, completeness, and consistency across source and target systems. Identify and report any discrepancies or issues.
• Perform regression, integration and performance testing for data workflows.
• Collaborate with data engineers, business analysts, and other stakeholders to design and develop comprehensive test cases that cover functional and non-functional requirements.
• Implement and maintain automated testing scripts to improve efficiency and reduce manual testing efforts.
• Document and report test results, including defects and issues found during testing. Communicate findings to the development team and assist in troubleshooting.

Requirements:

• Degree in Computer Science, Mathematics, Economics, Engineering, IT or relevant field.
• Proven data engineering testing experience in enterprise class data engineering platforms e.g. Teradata Vantage, Snowflake etc
• Experience with testing pipeline creation, data provisioning & storage, architecture, unstructured data, ETL development, data modelling, big data, APIs, Python, SQL, NO-SQL databases, and big data tools.
• Experience contributing to research activities.

This is a permanent role based in Dublin/Cork

Is this you?

Please apply online on our website or via the apply link of this role. Your application will be sent through to our Talent Acquisition team and they will be in touch regarding your application.

We reserve the right to draw up a shortlist for interview.

The Bank understands the importance of a consistent and relentless focus on championing diversity and inclusion. We aim to attract, recruit, and retain individuals with diverse backgrounds, skills, competencies and abilities to work collaboratively to enhance the service we provide to all of our customers and the communities we serve.

We are seeking a talented individual to join our Cyber Data Engineering & Data Operations team at Marsh. This role will be based in Dublin, Ireland. This is a hybrid role that has a requirement of working at least three days a week in the office.

This role oversees the strategic development and execution of advanced analytics and machine learning initiatives to drive business growth and operational efficiency. The Cyber Data Engineering & Data Operations Leader collaborates closely with cross-functional leaders to identify high-impact opportunities, transform data into actionable insights, and develop predictive models that inform decision-making.

We will count on you to:

• Lead the design, development, and deployment of data solutions for the global Cyber practice to support new product development, research and development, insights / thought leadership, and reporting.
• Manage complex projects with direct reporting to senior management, ensuring alignment with business objectives and delivering measurable impact on product development, operational efficiency, and data monetization.
• Act as lead and mentor for a global team of direct and indirect reports performing data engineering and related data services, including establishing best practices, code reviews, and quality assurance standards.
• Collaborate with cross-functional teams across Marsh / MMC—including data scientists, product managers, and stakeholders—to optimize data collection, analysis, and monetization strategies.
• Define and implement reference architecture and data flow processes, ensuring efficient data management across organizational systems and transitions.
• Establish and enforce data governance, metadata management, and data quality standards to ensure data integrity, lineage, and compliance.

What you need to have:

• Proven experience in leading data engineering and data science teams, with a strong understanding of advanced analytics and machine learning.
• Expertise in designing and implementing data solutions, including data pipelines and machine learning models.
• Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels.
• Strong analytical and problem-solving skills, with a focus on delivering actionable insights and driving business performance.

What makes you stand out:

• Experience with data governance, data quality assurance, and ethical AI practices.
• A track record of driving innovation by evaluating, developing, and integrating new datasets to develop new revenue-generating products.
• Knowledge of emerging data technologies and trends, with the ability to recommend tools and practices to enhance organizational data capabilities.

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit , or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, Traveller community, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at to discuss any specific needs.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

R_

Role:
Data Engineer

Location:
Dublin

Employment:
Permanent

Visa Requirements:
EU Passport or Stamp 4 visa essential

We're looking for talented Data Engineers ready to make a real impact. You'll work with a variety of clients across multiple sectors, designing and delivering data solutions that power genuine business transformation.

From building robust architectures and automating data pipelines to developing predictive models and leveraging AI, you'll be part of a high-performing team that's pushing the limits of what data can do.

Role:

• Lead project workstreams and build trusted client relationships across a range of industries.
• Design and implement scalable data architectures for storage, processing, and integration.
• Develop and optimise ETL pipelines and data workflows.
• Champion best practice in data governance, quality, and security.
• Collaborate with cross-functional teams to deliver data-driven insights that create real business value.
• Stay on top of emerging tools and trends in big data, cloud platforms, and data engineering.

Experience:

• 2-6 years of Data Engineering commercial experience
• Proven expertise in data modelling, integration, and large-scale ETL development.
• Proficiency in programming languages including Python.
• Experience with cloud analytics platforms such as Azure Analytics, Databricks, or AWS Glue.
• Solid understanding of SQL and relational databases.
• Clear communicator who can translate technical insights into business impact.

Location

Dublin

Contract

Full time

Job Category

Software Engineering - Leadership

ABOUT ZALANDO:

Zalando is Europe's leading online platform for fashion and lifestyle, connecting customers, brands and partners across several markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to millions of customers through diverse skill-sets, interests and languages our teams choose to use.

The Product Data Quality team is looking for a talented Backend/Data Engineering Manager who has a passion for building applications at the intersection of data science and engineering. Our team consists of a great mix of both Data and Software Engineers, who work collaboratively with Product Managers and Applied Scientists, and are tasked with understanding, enriching and improving the product information (data and media content) for Zalando's assortment of millions of live products. To achieve these aims we use a combination of Machine Learning, Rules Engines, Human Annotation UIs, RESTful APIs, Data Dashboards and Data Pipelines (using both batch and streaming architectures).

As an Engineering Manager on the Product Data Quality team you will work with your engineering team, and working closely with product and applied science teams, to develop across the entire stack to build, serve and monitor cloud-based data processing architectures that intelligently gathers ML insights from multiple independent data sources and combine them to identify and correct quality issues in our product information in a scalable and maintainable way. We work with a leading edge technology stack composed of Python, Databricks, Kotlin, Kubernetes, RESTful APIs, Elastic Search, PostgreSQL and other AWS services amongst others - check our Tech Blog for more information on the technologies we use.

Teams at our Dublin Tech Hub work on many of the cornerstones of our Fashion Store. Through full stack engineering and research, we turn visionary ideas into new emerging businesses with real potential. By tackling diverse challenges for the fashion industry, we drive the personal digital experience and underlying knowledge models to create the most inspirational fashion experience for our customers.

• You support, manage, inspire and grow a diverse team of 6 data and software engineers while ensuring smooth delivery and continuous improvements to business critical systems.
• You ensure operational excellence of the services that are at the core of Zalando's vision of having industry leading product information available so that our customers have all the information required to make clear decisions and purchase with confidence.
• You manage dependencies, work closely with the product and applied science counterparts on solution planning, design and implementation
• You have excellent experience in supporting architectural and design decisions in the team (such as data pipelines and REST services), built on your strong technical knowledge and experience in these areas
• You contribute to the overall department priorities, spearhead the documentation and learnings from incidents
• You ensure system-reliability engineering and technical compliance
• You foster an inclusive & diverse team environment

• You are a self-motivated leader who has a very good understanding of modern development practices.
• You have been supporting a team of engineers in the past and have a good record of supporting and developing your team
• You have hands-on experience in managing teams across the engineering stacks required, in particular a track record in delivering and maintaining highly available production level API systems / data driven architectures / data engineering systems to use to gain insights from significant data loads.
• You are comfortable learning new technologies and systems, and helping the team to identify the right tool for the job.
• You are adept at collaborating with a product team, transforming customer issues into actionable solutions and working with them to navigate uncertainty to achieve a positive impact for customers
• You can thrive in a collaborative environment involving many different stakeholders, including Data Science teams, and help coordinate and deliver value to the business end-to-end
• Our values resonate with you.
• You have excellent verbal and written communication skills with an ability to articulate complex technical topics and solutions in a concise and simple way.
• You can work to make strategic alignment and communicate in both directions between management and team.
• You have experience promoting inclusive culture practices and processes that are models for others.
• You foster a positive and supportive team environment that encourages collaboration and innovation.
• You love engineering: designing, making and breaking things

Zalando provides a range of benefits, here's an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

• 40% off products sold and shipped by Zalando
• 2 paid volunteering days a year
• Hybrid working model
• Work from abroad for up to 30 working days a year
• 27 days of vacation per year to start
• A one-time allowance to set up an ergonomic workstation (outside of Zalando office)
• Health & Dental Insurance (opt-in)
• Pension scheme & match up to 10% (opt-in)
• Life Assurance
• Income Protection
• Cycle to Work Scheme
• Tax Saver Commuter Tickets
• Employee shares program
• Family services, including counseling and support
• Health and wellbeing options, including Gympass/Wellhub
• Mental health support and coaching available
• Professional development through our training platform and biannual peer-to-peer reviews

INCLUSIVE BY DESIGN

If you think you have what it takes, we encourage you to

We are seeking a highly experienced
Data Engineering Director
to define and execute our data engineering strategy, driving the development of robust, scalable, and high-performance data infrastructure. You will lead a talented team of data engineers, ensuring our data ecosystem meets the evolving needs of our enterprise data platform, APIs, advanced analytics, and other business requirements across the organization.

Ideal candidates bring deep technical expertise, a proven track record of building high-performing teams, and experience optimizing data solutions within an
Azure Databricks
environment. You will collaborate closely with cross-functional stakeholders to ensure data initiatives align with broader business objectives, regulatory requirements, and best-in-class industry practices.

Key Responsibilities:

• Strategic Leadership
  : Develop and implement the vision, strategy, and roadmap for the enterprise data platform (e-procurement, pricing, and additional business functions), ensuring alignment with overall business goals and seamless integration with other technological functions.
• Team Development
  : Recruit, mentor, and lead a high-performing team of data engineers, fostering a culture of continuous learning, innovation, and collaboration.
• Data Infrastructure
  : Build and maintain scalable data pipelines and infrastructure to power analytics, business intelligence, and delivery of data—optimizing for both efficiency and cost-effectiveness.
• Cross-Functional Collaboration
  : Partner with the architectural team, data strategy, data governance, data science, analytics, product management, and infrastructure teams across the global organization to design and implement solutions that maximize data's strategic value.
• Data Governance & Compliance
  : Ensure our enterprise data ecosystem maintains our standard controls for data governance, security, and compliance, ensuring adherence to frameworks like GDPR, HIPAA, and CCPA.
• Automation & Reliability
  : Drive automation in data processing and infrastructure management, implementing robust monitoring, alerting, and self-healing capabilities to enhance system reliability.
• Technology Evaluation
  : Continuously evaluate, select, and integrate new tools and technologies, ensuring the data engineering ecosystem remains state-of-the-art.
• Documentation & Enablement
  : Oversee the creation of comprehensive documentation, training materials, and knowledge-sharing resources to empower teams across the organization.
• Vendor & Stakeholder Management
  : Manage relationships with third-party vendors, performing technology assessments and ensuring optimal return on investment.
• Thought Leadership
  : Serve as an advocate for data-driven decision-making, championing the strategic value of data engineering and influencing stakeholders at all levels.

Required Qualifications:

• Education
  : Bachelor's degree (Master's preferred) in Computer Science, Applied Mathematics, Statistics, Machine Learning, or a closely related field (or foreign equivalent).
• Experience
  : 10+ years in data engineering, including at least 5 years in a leadership role overseeing large-scale data initiatives.
• Data Architecture
  : Proven expertise in managing large-scale data architecture and distributed systems.
• Cloud Platforms
  : At least 7 years of hands-on experience with major cloud platforms (AWS, GCP, or Azure) and data technologies (Spark, Kafka, Snowflake, Redshift, Databricks, BigQuery, Hadoop) among others.
• Programming
  : Strong proficiency in SQL, Python, Java, or Scala, along with experience in frameworks like Apache Beam, Flink, or Airflow.
• ETL & Streaming
  : In-depth knowledge of ETL pipelines, data warehousing, and real-time streaming architectures.
• Containerization & Orchestration
  : Expertise with Docker and Kubernetes in data applications.
• Data Governance & Security
  : Deep understanding of IAM, encryption standards, and compliance requirements.
• DevOps & CI/CD
  : Proficiency in CI/CD practices and DevOps methodologies for data engineering workflows.
• Leadership & Communication
  : Exceptional leadership and stakeholder management skills, with the ability to influence diverse teams and executive partners.

Preferred Qualifications:

• Industry Experience
  : Background in high-growth, data-driven organizations; healthcare industry experience is a plus.
• AI/ML & MLOps
  : Familiarity with AI/ML infrastructure and MLOps tools (e.g., TensorFlow, MLflow, feature stores).
• Cost Optimization
  : Experience in optimizing cloud-based data platforms for performance and cost-effectiveness

Henry Schein is committed to the principle of equal opportunities in employment in all spheres of its operation. Henry Schein UK Holdings strives to operate a policy of equal opportunity and not discriminate against any person gender, race, colour, nationality, ethnic or national origin, religion, sexual orientation, marital status, disability, age or any other characteristic protected by law.

This job is with Johnson & Johnson, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at

Job Function
Data Analytics & Computational Sciences

Job Sub Function
Data Engineering

Job Category
People Leader

All Job Posting Locations:
Limerick, Ireland

Job Description
Senior Manager, Data Engineering
Position Overview
We are seeking a dynamic and visionary
Senior Manager of Data Engineering
to join our regional Data Engineering Chapter leadership team. This strategic role will lead the architecture, design, and implementation of scalable, efficient, and secure data solutions that power our most critical business initiatives-from foundational data management and analytics to innovative decision science and GenAI enablement, primarily focused on the Supply Chain Innovative Medicine portfolio.

As a key partner to both Regional and Global Data Engineering Service Owners and Business partners, you will drive operational excellence across data engineering services, ensure alignment with enterprise-wide technology strategies, and cultivate a high-performing, innovation-led team culture. This role demands a rare blend of technical depth, strategic foresight, and servant leadership, further developing Service Industrialization.

Key Responsibilities
Leadership & Strategy

• Drive the strategic direction and delivery of core data engineering services across the regional platform.
• Collaborate with Business Technology and functional partners to shape future demand and define investment priorities.
• Lead multi-functional planning and delivery using modern, stable team constructs to enhance resource utilization and team performance.
• Foster a culture of accountability, innovation, and continuous improvement within the data engineering team.
• Represent the organization at industry events to showcase thought leadership and keep abreast of emerging technologies and trends.

Architecture & Infrastructure

• Define and implement the technical architecture for enterprise-grade data platforms (SC IM STRATA, OWL, GoldenBatch), aligned with strategic business outcomes and data governance standard methodologies.
• Ensure the design and development of robust, scalable data pipelines, data warehousing, and business intelligence solutions.
• Champion a "quality-first" approach, incorporating practices like test automation development, automated testing, and zero-defect delivery.
• Responsible for infrastructure decisions to ensure performance, security, and cost-efficiency.

People & Performance Management

• Lead, mentor, and grow a high-performing team of data engineers through effective goal setting, performance management, and career development planning.
• Create an environment of continuous learning, emphasizing technical depth, compliance, and collaboration.
• Conduct talent reviews and succession planning to ensure long-term capability development.

Operational Delivery

• Deliver complex, critical data applications and services using best-in-class software and data engineering practices.
• Ensure that service delivery performance meets or exceeds SLAs and key business metrics.
• Address critical issues and remove blockers across all data engineering domains.
• Drive service and cost optimization initiatives across the regional portfolio.

Supplier & Vendor Management

• Build strong relationships with external data engineering service providers.
• Support vendor evaluations, contract negotiations, and performance management.
• Ensure suppliers deliver consistent value and align with internal quality and compliance standards.

Qualifications & Experience

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• 10+ years of experience in data engineering or similar domains, including 5+ years in a leadership capacity.
• Deep technical expertise in data architecture, cloud-based platforms (AWS, Azure, or GCP), and modern tooling (Snowflake, Databricks, dbt, and Airflow).
• Proven track record of leading enterprise data initiatives, with a strong understanding of ETL/ELT, data modelling, and data warehousing.
• Exceptional leadership and influencing skills, with the ability to get results across diverse, global, and multi-functional teams.
• Demonstrated experience in vendor/supplier management and contract performance oversight.
• Strong communication, facilitation, and decision-making skills, with a strategic mentality and execution focus

Benefits
We offer a competitive salary and extensive benefits package. The health and well-being of our employees is a priority, we have a flexible working environment as we value work-life balance. We offer career development opportunities for those who want to grow and be part of our organization.

Johnson & Johnson Family of Companies are equal opportunity employers, and all qualified applicants will be considered for employment without regard to any other characteristic protected by law.

We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at

Job Function
Data Analytics & Computational Sciences

Job Sub Function
Data Engineering

Job Category
People Leader

All Job Posting Locations:
Limerick, Ireland

Job Description
Senior Manager, Data Engineering
Position Overview
We are seeking a dynamic and visionary
Senior Manager of Data Engineering
to join our regional Data Engineering Chapter leadership team. This strategic role will lead the architecture, design, and implementation of scalable, efficient, and secure data solutions that power our most critical business initiatives—from foundational data management and analytics to innovative decision science and GenAI enablement, primarily focused on the Supply Chain Innovative Medicine portfolio.

As a key partner to both Regional and Global Data Engineering Service Owners and Business partners, you will drive operational excellence across data engineering services, ensure alignment with enterprise-wide technology strategies, and cultivate a high-performing, innovation-led team culture. This role demands a rare blend of technical depth, strategic foresight, and servant leadership, further developing Service Industrialization.

Key Responsibilities
Leadership & Strategy

• Drive the strategic direction and delivery of core data engineering services across the regional platform.
• Collaborate with Business Technology and functional partners to shape future demand and define investment priorities.
• Lead multi-functional planning and delivery using modern, stable team constructs to enhance resource utilization and team performance.
• Foster a culture of accountability, innovation, and continuous improvement within the data engineering team.
• Represent the organization at industry events to showcase thought leadership and keep abreast of emerging technologies and trends.

Architecture & Infrastructure

• Define and implement the technical architecture for enterprise-grade data platforms (SC IM STRATA, OWL, GoldenBatch), aligned with strategic business outcomes and data governance standard methodologies.
• Ensure the design and development of robust, scalable data pipelines, data warehousing, and business intelligence solutions.
• Champion a "quality-first" approach, incorporating practices like test automation development, automated testing, and zero-defect delivery.
• Responsible for infrastructure decisions to ensure performance, security, and cost-efficiency.

People & Performance Management

• Lead, mentor, and grow a high-performing team of data engineers through effective goal setting, performance management, and career development planning.
• Create an environment of continuous learning, emphasizing technical depth, compliance, and collaboration.
• Conduct talent reviews and succession planning to ensure long-term capability development.

Operational Delivery

• Deliver complex, critical data applications and services using best-in-class software and data engineering practices.
• Ensure that service delivery performance meets or exceeds SLAs and key business metrics.
• Address critical issues and remove blockers across all data engineering domains.
• Drive service and cost optimization initiatives across the regional portfolio.

Supplier & Vendor Management

• Build strong relationships with external data engineering service providers.
• Support vendor evaluations, contract negotiations, and performance management.
• Ensure suppliers deliver consistent value and align with internal quality and compliance standards.

Qualifications & Experience

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• 10+ years of experience in data engineering or similar domains, including 5+ years in a leadership capacity.
• Deep technical expertise in data architecture, cloud-based platforms (AWS, Azure, or GCP), and modern tooling (Snowflake, Databricks, dbt, and Airflow).
• Proven track record of leading enterprise data initiatives, with a strong understanding of ETL/ELT, data modelling, and data warehousing.
• Exceptional leadership and influencing skills, with the ability to get results across diverse, global, and multi-functional teams.
• Demonstrated experience in vendor/supplier management and contract performance oversight.
• Strong communication, facilitation, and decision-making skills, with a strategic mentality and execution focus

Benefits
We offer a competitive salary and extensive benefits package. The health and well-being of our employees is a priority, we have a flexible working environment as we value work-life balance. We offer career development opportunities for those who want to grow and be part of our organization.

Johnson & Johnson Family of Companies are equal opportunity employers, and all qualified applicants will be considered for employment without regard to any other characteristic protected by law.

We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.