Jobs / Spain / Astrazeneca Pharmaceuticals Lp
Data Engineering Architect - Evinova
Astrazeneca Pharmaceuticals Lp · 🌍 Spain - Barcelona
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
- Confirmed live todayWhen a source last listed this job as open.
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Astrazeneca Pharmaceuticals Lp
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Astrazeneca Pharmaceuticals Lp →
About the role
This is an in-office role based in Barcelona, ES, with a requirement to work a minimum of three days per week on-site. Remote or travel flexibility is not available. Evinova , a healthtech leader, is seeking a passionate and experienced Data Engineering Architect to guide in the structure of the structure our platform-wide conformed data within our data foundation to enable our products, data science, and agent s to deliver category leading capabilities . Join us in leveraging cutting-edge technology, data, and AI to revolutionize life sciences and improve billions of lives globally. In this pivotal role, you will design, i mplement, and optimize robust cloud-based data within the lakehous e , catalogue , pipelines , and operational frameworks that enable rapid innovation and deliver exceptional system reliability . You will be one of the senior - most data architec ts and engineers within the data foundation team ; expected to be hands on, guide , and mentor the team . You will need to shar e your expertise in cloud dat a structures , optimizations, automation, and best practices with the whole of Evinova . Key Responsibilities Infrastructure Design & Management • AWS Data Services: Deep hands-on experience with Lake Formation, Glue (ETL + Catalog ue + Schema Registry), Athena, and at least one of EMR / Redshift Serverless. You understand how these compose, not just how each works in isolation . • Open Table Formats: Production experience with S3 Tables, Apache Iceberg (preferred) , or Delta Lake. You understand partition evolution, schema evolution, time travel, and compaction — and when each matter . • Streaming: Built production streaming pipelines with Kinesis Data Streams or MSK. Comfortable with exactly once semantics, windowing, late-arriving data, and backpressure . • Infrastructure as Code: AWS CDK ( TypeScript ) or CloudFormation. You define infrastructure in code, not in the console. CI/CD for data pipelines is expected , we currently use GitHub Actions, and some Terraform . • Data Modelling: Can design dimensional models, event schemas, and slowly changing dimensions. Understand the trade-offs between normali z ed and denormali z ed storage for different access patterns . • Governance and Security: Practical experience implementing column-level security, row-level filtering, or tag-based access control. Understands how data classification drives policy . • Python or Spark: For ETL logic, feature extraction, and data quality validation. PySpark or Spark Scala for distributed transforms . • AI & Machine Learning: Exposure to AI tools and frameworks is a plus. • Mentorship & Leadership: Mentor and guide junior and mid-level engineers, fostering a culture of learning and collaboration. Provide technical leadership in the adoption of the tooling, patterns, and automation best practices . • Collaboration: Partner with cross-functional teams, including product management and security, to align data foundation strategies with business goals and ensure cohesive development and operational workflows. Required Experience & Qualifications • 10 + years in d ata e ngineering and data pattern type roles, with significant experience in SaaS and multi-tenant data platforms. Proven track record of mentoring team members in data platform related projects . • Cloud Expertise: Strong understanding of AWS services, including VPC, IAM, EC2, S3, RDS, Lambda, EKS, AWS WAF, and AWS CloudTrail. • Data Products: Expert knowledge of S3, RDS, DynamoDB, Kinesis, Glue, DataZone , Athena, RedShift Serverless, and AWS EventBridge . • Containerization & Orchestration: Deep proficiency in Docker, Kubernetes, Helm, and associated ecosystem tools. • CI/CD Proficiency: Expertise in CI/CD tools such as