Data Engineer

AstraZeneca; Guadalajara; Presencial; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

AstraZeneca is seeking a skilled Data Engineer to enhance data efficiency and quality. The role involves managing databases, optimizing data collection systems, and collaborating with cross-functional teams. Candidates should possess a bachelor's degree in engineering or a related field, with expertise in SQL and data analysis tools. Join an inclusive team dedicated to making a meaningful impact on patients through innovative data solutions.

Servicios

Flexible work environment

Learning and career growth opportunities

Inclusive team culture

Formación

• 4 to 6 years of relevant professional experience.
• Hands-on experience with workflow orchestration using Apache Airflow.
• Foundational knowledge of data integration and ETL processes.

Responsabilidades

• Design, implement, and maintain databases and data systems.
• Analyze data to produce insightful reports for collaborators.
• Support and maintain visualization platforms and applications.

Conocimientos

Data Analysis

Database Technologies

ETL Processes

Programming in Python

Problem Solving

Communication Skills

Educación

Bachelor’s Degree in Engineering or related field

Herramientas

SQL

Snowflake

Apache Airflow

Power BI

Talend

Descripción del empleo

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!

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.