Roles & Responsibilities

Demonstrated experience as a Data Engineer or Business Data Engineer in enterprise environmentsInterpret, process, and analyze data to produce insightful, ongoing reports for collaboratorsDesign, implement, and maintain databases, data collection systems, analytics solutions, and strategies to optimize data efficiency and qualityBuild, maintain, and support visualization platforms and applications, providing reliable production support operations (e.g., Power BI, Power Platform)Contribute to the full lifecycle (design, build, test, maintenance, production support) for visualization platforms and applicationsAcquire and integrate data from various primary and secondary sources; maintain robust databases and data systemsIdentify, analyze, and interpret meaningful trends and patterns within complex data setsCollaborate with management to prioritize business and information needs, ensuring alignment with strategic objectivesApply advanced knowledge of relational databases (e.g., SQL, Snowflake, Redshift, Oracle) and ETL tools (e.g., DBT, Fivetran, Talend, Informatica, SSIS) to build efficient data pipelinesDevelop, schedule, and monitor data workflows applying tools such as Apache AirflowApply strong analytical skills to collect, organize, analyze, and disseminate large volumes of information with accuracy and attention to detailDesign and implement queries, scripts, stored procedures, and reports; communicate and present findings effectivelyIdentify and implement process improvements to enhance data reliability and operational efficiencyProvide ongoing support and maintenance for business-as-usual (BAU) data solutionsApply data analysis techniques to investigate, interpret, and document data structures and processes
 

Mandatory Skills

Proficiency with database technologies such as SQL, Snowflake, Amazon Redshift, Oracle, Netezza, or TeradataExperience with ETL/data integration tools including DBT, Talend, Informatica, SQL Server Integration Services (SSIS), Fivetran, etc.Foundational knowledge of data integration and ETL processesHands-on experience with workflow orchestration using Apache AirflowExpertise in visualization services and tools (Power BI, Power Platform)Programming skills in Python, especially with Pandas and NumPy librariesStrong written and verbal communication skillsAbility to thrive in cross-cultural team environmentsAnalytical attitude with proactive problem-solving abilities and attention to detailExperience with Service Management tools, preferably ServiceNow
 

Desired Skills

Experience working with financial data setsFamiliarity with AWS cloud services (S3, SQS, Lambda)Additional expertise with the Apache Airflow platformExperience with version control systems, especially Git

Education & Experience

Bachelor’s Degree in Engineering or a related fieldExperience: 4 to 6 years of relevant professional experience

If you are passionate about data engineering and eager to make an impact within a dynamic team, we invite you to apply!

 

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
 

At AstraZeneca, our work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining innovative science with leading digital technology platforms. Our dynamic environment offers countless opportunities to learn and grow while making a positive impact on lives through data analytics, AI, machine learning, and more. Join us at a crucial stage of our journey as we become a digital and data-led enterprise.

Ready to make an impac? Apply now to join our team!

Date Posted

06-jun-2025

Closing Date

19-jun-2025

AstraZeneca 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.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.