{"id":3151576,"url":"https://alion.io/job/astrazeneca-associate-director-data-engineering","title":"Associate Director Data Engineering","company":{"id":13195,"name":"AstraZeneca","domain":"astrazeneca.com","url":"https://alion.io/company/astra-zeneca","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":122,"ghost_share":0,"stale_share":0.492,"repost_share":0.057,"time_to_fill_p50_days":20,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":167000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"HPC","optional":false},{"name":"Linux","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"SciPy","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon EC2","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Glue","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Dagster","optional":true},{"name":"Next-Generation Sequencing","optional":true},{"name":"Prefect","optional":true}],"status":"live","first_seen_at":"2026-10-23T12:34:02Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-24T06:36:51Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"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.\nWe are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. You will significantly impact the role of data engineering on the delivery of Data Products to the Oncology R&D organisation. Ensuring we are continuously advancing our data stack as well as our automation and observability capabilities will be central to your work.\nMain Duties and Responsibilities\nBuilding and maintaining the infrastructure and pipelines for extracting, transforming, and loading data for use in data products and analyses.\nWorking with data scientists and other stakeholders to understand the data needs and requirements of the organization and designing data systems and pipelines to meet these needs.\nImplementing data ingestion, transformation, and storage systems in a FAIR and high-quality way \nEnsuring the reliability, scalability, and performance of data systems and pipelines.\nImplementing data governance policies and procedures to ensure the security, privacy, and integrity of data.\nCollaborating with other members of the data team to build and maintain data products and services.\nStaying up-to-date with new technologies and best practices in the field of data engineering\nEssential Requirements\nComputer Science, Engineering, or Bioinformatics background (Master level) with 5 years of relevant experience \nDeep knowledge of Python and vast experience with Python data and scientific libraries like pandas, numpy/scipy, polars, etc\nAn ability to interact with various data sources, both structured and unstructured (e.g. HDFS, SQL, noSQL)\nExperience working across multiple scientific compute environments to create data workflows and pipelines (e.g. HPC, cloud, Unix/Linux systems)\nUnderstanding of the FAIR data principles and how they apply to the delivery of integrated X-Omics solutions\nDeep understanding of typical data quality issues, cleaning and masking techniques\nDesirable Skills\nExperience working with metadata models, controlled vocabularies and ontologies\nExperience with deploying data pipelines using orchestration services: Airflow/Prefect/AWS Glue/Dagster/etc.\nExperience using AWS services: S3/EBS, EC2, CloudWatch, SNS and Lambda.\nUnderstanding of software development, testing and quality processes, experience with testing frameworks and documentation\nExpertise with biological/health data, especially NGS and other ‘omic technologies.\nAbility to understand, map, integrate, and document complex data relationship and business rules.\nDate Posted\n23-oct-2026Closing Date\n29-oct-2026AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. 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