Senior Data Engineer

**JOB DESCRIPTION**:
AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. R&D IT is AZ’s global IT capability function supporting key science related business areas operating out of sites across the US, UK, Sweden, India & Mexico. We have a varied range of data engineering projects which use the latest cloud and architectural best practices to deliver a broad range of data solutions for the business. For example, monitoring Patient Safety aspects of the COVID-19 Vaccine and providing Operational and Financial business intelligence on the latest drugs in the development pipeline.

We are looking for a passionate Cloud Savvy Data Engineer who will leverage tools & technology best practices to improve delivery performance & data engineering capabilities in the D&A space.

**ROLES & RESPONSIBILITIES**:

- You will be part of a truly Agile and DevOps team which provides data engineering (ETL, Data Products, Reports) support across the R&D IT portfolio
- Deliver cost effective solutions to support data engineering activities, for example data ETL workflows
- Test and quality assess new D&A solutions, to ensure they are fit for release: code assurance, Unit and System Integration Testing, Data testing, release management control and support of UAT processes
- Ensure that business data and information assets are made available as data services and artefacts for consumption by the wider AZ enterprise

**MANDATORY SKILLS**:

- First class SQL writing skills
- Any Database experience, but especially Snowflake, Aurora and Redshift etc
- Experience of working with a range of data analytics architectures. These may include: traditional warehousing, distributed computing, visualization analytics
- Experience with & knowledge of Python, particularly in conjunction with serverless technology such as AWS Lambda and AWS Glue
- Familiar with using version control (branching, merging etc), ideally Git
- Experience and familiarity with data models and artefacts
- Strong analytical skills with the ability to resolve production issues
- Understanding of business area / process in scope
- Willing to work in a cross cultural environment across multiple timezones. Ability to work effectively independently or as part of a team to achieve objectives.
- Eager to learn and develop new tech skills as required
- Good written and verbal skills, fluent English

**DESIRED SKILLS**:

- Cloud Engineering Experience deploying Infrastructure as Code, particularly AWS Cloud Formation Templates, AWS CDK or Terraform.
- Experience in DBT and Airflow would be a big advantage
- Test Automation, and in particular Great Expectations or DBT Test
- CI / CD in a data engineering context, especially GitHub Actions and DBT Cloud
- Experience delivering Data Products within a Data Mesh Architecture
- Domain knowledge (processes & data): Pharma R&D
- Any regulatory experience such as GxP, Sarbanes Oxley and ISO 27001
- Experience of working with NoSQL, virtualization, data streaming etc.
- Amazon Web Services: Connecting, loading and reading data from AWS database technologies like Athena, Glue, Aurora, AWS Redshift, PostgresSQL.
- MS Power BI knowledge or any other reporting tools.
- Agile/Scrum process.
- ITIL knowledge.
- In our dynamic environment, be supported by the brightest minds working together side by side. Agile and collaborative, we work cross-functionally, as well as externally, to thrive at pace. _
- Be appreciated for your contributions. Our culture of recognition and reward means each of us feels supported and empowered to step up and take responsibility. With all the tools you need to excel at every level, coupled with ongoing constructive coaching, there’s no better place to bring out your best._
- Are you ready to bring new ideas and fresh thinking to the table? Brilliant We have one seat available and we hope it’s yours._

**Where can I find out more?**

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