Staff Data Engineer - Ireland

Johnson & Johnson MedTech

Ringaskiddy

On-site

EUR 63,000 - 101,000

Full time

7 days ago

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Benefits offered by this job

Annual bonus

Vacation days

Parental leave

Bereavement leave

Well‑being reimbursement

Service awards

Insurance plans

Job summary

Johnson & Johnson MedTech is seeking a Staff Data Engineer to lead the modern data foundation across the Orthopaedics Supply Chain. You will design lakehouse architecture on Databricks and AWS, enabling governed, reusable data products for analytics, reporting, AI, and operational decision-making.

You will guide cross‑functional teams, including product owners, data engineers, ML teams, and external partners, to deliver scalable, robust data solutions and implement best practices in data

Qualifications

Bachelor's degree or equivalent in a related field.
4+ years of professional data engineering experience.
Strong Databricks, Spark, PySpark, Python, SQL, and Delta Lake skills.
AWS cloud data services experience; Azure desirable.
Ability to translate business needs into architecture and executable plans.

Responsibilities

Provide technical leadership for data foundation modernization with lakehouse architecture and cloud capabilities.
Design data pipelines and architecture using Databricks, AWS, Python, SQL, Spark, and Delta Lake.
Develop blueprints for batch, streaming, and event-driven pipelines for analytics and AI/ML use cases.
Coordinate with Product Owners, Supply Chain, governance, AI/ML teams, and IT partners to align delivery with outcomes.
Lead architecture discussions ensuring scalability, reliability, and cost efficiency.
Mentor engineers and contractors through design reviews and architecture guidance.

Skills

Advanced Analytics

Data Engineering

Data Governance

Data Modeling

Data Quality

Hybrid Clouds

Problem Solving

Analytical Reasoning

Education

Bachelor's degree

Tools

Power BI

Tableau

Job description

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Data Engineering

Job Category

Scientific/Technology

All Job Posting Locations

Ringaskiddy, Cork, Ireland

Job Description

Orthopedics Supply Chain is recruiting for a Staff Data Engineer located in Raynham, MA; Raritan, NJ; Palm Beach Gardens, FL; Warsaw IN; Cork, IE;

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 https://www.jnj.com/

Please note that this role is available across multiple countries and may be posted under different requisition numbers to meet local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the country(s) that align with your preferred location(s):

USA – Req. # R-096100

Whether you apply to one or several, your applications will be considered as a single submission.

Johnson & Johnson announced plans to separate its Orthopedics business into a standalone company, operating as DePuy Synthes. The planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements (including consultation with works councils and other employee representative bodies, as may be required), regulatory approvals, and other customary conditions and approvals.

Should you accept this position, it is anticipated that, following the transaction, you would join DePuy Synthes, and your employment would be governed by its employment processes, programs, policies, and benefit plans. Details of any planned changes would be shared at an appropriate time and subject to any necessary consultation processes.

What’s in it for you?

In this role, you will play a pivotal technical leadership role in building the modern data foundation that powers digital products across the Orthopaedics Supply Chain. You will help design lakehouse architecture on Databricks and AWS while enabling governed, reusable, business-ready data products for analytics, reporting, AI, and operational decision-making.

The role suits an expert professional who can lead across solution architecture, pipeline design, engineering standards, and cross-team delivery. You will work closely with Product Owners, business teams, data engineers, machine learning teams, and external delivery partners to turn business problems into practical technical solutions and executable plans.

You will also help advance modern engineering practices, including AI-assisted development, reusable patterns, data quality automation, and observability. This is an opportunity to make a meaningful impact if hands‑on architecture and solving complex data challenges at scale are what energize you.

Key Responsibilities

Provide technical leadership for the Data Foundation initiative to modernize the enterprise data ecosystem through lakehouse architecture and cloud platform capabilities.
Design complex data pipelines, integration patterns, and architecture using Databricks, AWS, Python, SQL, Spark, and Delta Lake.
Turn business requirements and technical challenges into architecture decisions, implementation plans, and reusable patterns.
Develop blueprints for batch, streaming, and event-driven pipelines that support analytics, BI, AI/ML, and digital product use cases.
Partner with Product Owners, Supply Chain teams, data governance, AI and ML groups, and IT partners to align delivery with measurable business outcomes.
Lead architecture and design discussions, ensuring solutions meet standards for scalability, reliability, quality, security, maintainability, and cost efficiency.
Break down large initiatives into work packages, user stories, and acceptance criteria for internal engineers and external contractors.
Coordinate contractor and vendor execution by assigning work, reviewing deliverables, and providing technical direction.
Set clear standards for data modeling, modularity, reuse, automated testing, CI/CD, data quality, observability, lineage, and operational support.
Lead hands‑on development and technical reviews with Databricks, PySpark, Spark SQL, Python, SQL, dbt, and orchestration tools like Airflow.
Champion responsible adoption of AI‑assisted engineering to improve quality, documentation, testing, and delivery velocity.
Mentor engineers and contractors through design and code reviews and architecture guidance (no direct people‑management responsibility).
Contribute to technical governance forums, architecture standards, and operating‑model practices that improve consistency and reuse.

Qualifications

Education: A minimum of a Bachelor’s degree and/or equivalent University degree is required; a focused degree in in Computer Science, Engineering, Applied Mathematics, Information Systems, or a related field preferred.

Required

Minimum four (4) years of relevant professional work experience.
Experience in data engineering, data architecture, or platform engineering (consistent with J&J leveling).
Strong hands‑on experience across Databricks, Apache Spark, PySpark, Spark SQL, Python, SQL, and Delta Lake.
Strong experience with AWS cloud data services; Azure experience desirable.
Proven expertise in modern data and lakehouse architecture, enterprise data platforms, dimensional modeling, and pipeline design.
Experience designing batch, real‑time, and event‑based processing for enterprise‑scale workloads.
Experience with CI/CD, Git‑based development, automated testing, deployment patterns, and production support.
Proven skill in converting business needs into architecture, user stories, and executable delivery plans.
Demonstrated ability to coordinate distributed engineering teams, contractors, and vendors.
Excellent communication, facilitation, and relationship‑building skills across technical, product, and business audiences.
Knowledge of Power BI, Tableau, or enterprise BI platforms.
Knowledge of workflow automation tools (e.g., Power Automate, Blue Prism, UiPath, or Amazon Quick Flows).

Preferred

Experience supporting Agile product teams and mentoring engineers in fast‑paced environments.
Familiarity with end‑to‑end supply chain domains (planning, manufacturing, procurement, distribution, logistics) within MedTech or a similar regulated industry.
Knowledge of enterprise systems of record such as SAP, ERP, MES, PLM, and CRM, including legacy or fragmented data environments.
Experience with Unity Catalog, data governance, lineage, metadata management, and observability frameworks.
Hands‑on experience with modern Databricks capabilities (Lakeflow, Spark Declarative Pipelines, Mosaic AI, AI/BI Genie) and AI‑assisted development tools such as GitHub Copilot, Claude Code, Amazon Q Developer, or Cursor.
Experience with dbt, Airflow, Terraform, Databricks Asset Bundles, GitHub Actions, or equivalent infrastructure‑as‑code tooling, and with designing AI‑ready data foundations (semantic layers, knowledge graphs, governed data products) for advanced analytics teams.

Leadership Competencies

Technical leadership with the ability to influence without formal authority.
Effective in a results‑focused, product‑centric way of working.
Strong communication, relationship‑building, and negotiation skills.
Proven skill in shaping complex architectures into executable plans and manageable work packages.
Strong sense of ownership, focused on standardization, engineering excellence, and measurable impact.
Ability to balance hands‑on engineering depth with architecture guidance and cross‑team leadership.

Other

This position may require up to 10% domestic and international travel.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or other characteristics protected by federal, state, or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers; internal employees contact AskGS to be directed to your accommodation resource.

Required Skills

Advanced Analytics, Agility Jumps, Analytical Reasoning, Coaching, Critical Thinking, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Quality, Data Science, Hybrid Clouds, Motivating People, Problem Solving, Process Improvements, Technologically Savvy

Preferred Skills

The Anticipated Base Pay Range For This Position Is

€63,300.00 - €101,315.00

Benefits

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well‑being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well‑being & career growth | Johnson & Johnson Careers.