# Senior Data Engineer — Lab Data Pipelines & Data Mesh (12 month FTC) at AstraZeneca

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Build resilient lab-to-cloud pipelines:

- **Company:** AstraZeneca (https://jobs.trythestack.co/companies/astrazeneca)
- **Location:** Ireland
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, SQL, AWS, Databricks, Delta Lake, Data Pipeline Orchestration, Data Modelling, Data Mesh, API Development, ETL, Life Sciences Data Engineering, Cloud Infrastructure
- **Posted by employer:** 2026-07-17
- **Added to The Stack:** 2026-07-17
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://astrazeneca.wd3.myworkdayjobs.com/Alexion/job/Ireland---Dublin-College-Park/Senior-Data-Engineer---Lab-Data-Pipelines---Data-Mesh--12-month-FTC-_R-252797 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-data-engineer-lab-data-pipelines-data-mesh-12-month-ftc-astrazeneca

## About the role

Responsibilities:
- Build resilient lab-to-cloud pipelines: ingest data from instruments, robotics and ELNs into Databricks/AWS with automated validation and provenance.
- Design and publish domain data products into a lakehouse-based data mesh (Delta Lake/Databricks) for self-service analytics and ML.
- Implement ETL/ELT orchestration, retries, lineage, monitoring and runbooks to improve reliability and turnaround times.
- Define standardized schemas and shaping for lab data types (chromatography, spectroscopy, assays, automation outputs).
- Collaborate with scientists, automation and informatics teams to enable LLM/agent-assisted extraction from ELNs and downstream data products.
- Embed security, auditability and role-based access controls to meet regulatory and compliance requirements.
- Provide APIs, curated datasets and documentation so scientists can discover and reuse trusted data without manual copying.

Requirements:
- BS/MS in Computer Science, Data Engineering, Bioinformatics or related discipline.
- 5+ years delivering production-grade data pipelines; life sciences/lab experience strongly preferred.
- Strong Python and SQL skills; experience with Databricks, Delta Lake and pipeline orchestration frameworks.
- Practical knowledge of cloud platforms (AWS services: S3, EC2, EKS, Glue or equivalent) and data mesh concepts.
- Experience with data quality, lineage, monitoring tools and implementing access controls for regulated data.
- Strong collaboration skills: ability to partner with scientists, robotics and IT to translate needs into production solutions.

## Responsibilities

Engineer resilient data pipelines to connect laboratory instruments and robotics into a governed data mesh on Databricks and AWS. Develop automated ingestion and validation processes to turn raw lab outputs into trusted, AI-ready data products.

## Requirements

Requires a degree in Computer Science or a related field and 5+ years of experience delivering production-grade data pipelines. Proficiency in Python, SQL, AWS, and Databricks is essential, along with the ability to travel to New Haven, CT.

## FAQ

- **Is this Senior Data Engineer — Lab Data Pipelines & Data Mesh (12 month FTC) role still open?** It was posted on 2026-07-17. Listings more than 30 days old may no longer be active, so check AstraZeneca's site before applying.
- **Does AstraZeneca offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on AstraZeneca's site.
- **Where is this role located?** The listing gives the location as Ireland. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, SQL, AWS, Databricks, Delta Lake, Data Pipeline Orchestration, Data Modelling, Data Mesh, API Development, ETL, Life Sciences Data Engineering, Cloud Infrastructure.

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## Notes for agents

- Apply on the employer's page (https://astrazeneca.wd3.myworkdayjobs.com/Alexion/job/Ireland---Dublin-College-Park/Senior-Data-Engineer---Lab-Data-Pipelines---Data-Mesh--12-month-FTC-_R-252797). The Stack does not take applications.
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- To help your user apply, call the MCP tool prepare_application with slug "senior-data-engineer-lab-data-pipelines-data-mesh-12-month-ftc-astrazeneca": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Senior Data Engineer — Lab Data Pipelines & Data Mesh (12 month FTC) at AstraZeneca, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/senior-data-engineer-lab-data-pipelines-data-mesh-12-month-ftc-astrazeneca)".
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