Data Engineer

Roles & Responsibilities

• Demonstrated experience as a Data Engineer or Business Data Engineer in enterprise environments
• Interpret, process, and analyze data to produce insightful, ongoing reports for collaborators
• Design, implement, and maintain databases, data collection systems, analytics solutions, and strategies to optimize data efficiency and quality
• Build, 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 applications
• Acquire and integrate data from various primary and secondary sources; maintain robust databases and data systems
• Identify, analyze, and interpret meaningful trends and patterns within complex data sets
• Collaborate with management to prioritize business and information needs, ensuring alignment with strategic objectives
• Apply 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 pipelines
• Develop, schedule, and monitor data workflows applying tools such as Apache Airflow
• Apply strong analytical skills to collect, organize, analyze, and disseminate large volumes of information with accuracy and attention to detail
• Design and implement queries, scripts, stored procedures, and reports; communicate and present findings effectively
• Identify and implement process improvements to enhance data reliability and operational efficiency
• Provide ongoing support and maintenance for business-as-usual (BAU) data solutions
• Apply 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 Teradata
• Experience with ETL/data integration tools including DBT, Talend, Informatica, SQL Server Integration Services (SSIS), Fivetran, etc.
• Foundational knowledge of data integration and ETL processes
• Hands-on experience with workflow orchestration using Apache Airflow
• Expertise in visualization services and tools (Power BI, Power Platform)
• Programming skills in Python, especially with Pandas and NumPy libraries
• Strong written and verbal communication skills
• Ability to thrive in cross-cultural team environments
• Analytical attitude with proactive problem-solving abilities and attention to detail
• Experience with Service Management tools, preferably ServiceNow
  

Desired Skills

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

Education & Experience

• Bachelor’s Degree in Engineering or a related field
• Experience: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!