We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
As a Senior Data Engineer, you will design and implement scalable data solutions that drive business value for our global clients. Working with modern data stacks in cloud environments, you'll develop robust data pipelines, ensure data quality, and implement effective data governance practices. Your expertise will be crucial in to support a critical migration initiative ensuring business continuity throughout the migration process. You'll work with cross-functional teams to ensure successful data transformation and integration from stores across UK and USA regions.
Key Responsibilities:
- Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently
- Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability
- Implement and maintain data quality measures throughout the data lifecycle
- Create and optimize dimensional data models to support analytical needs
- Develop and maintain Data Lake/Data Warehouse solutions for our clients
- Implement data governance practices including cataloging and lineage tracking
- Configure and manage CI/CD pipelines for ETL processes
Requirements:
- Advanced English communication skills (reading, writing, and speaking)
- Experience working with international clients
- Proven background in data engineering with modern data stacks
- Experience in Azure cloud environments using SQL and/or Spark
- Knowledge of data quality practices and implementation methods
- Familiarity with pipelines for ETL processes
- Experience with Data Orchestration
- Experience with data cleansing, transformation, and integration.
- Experience implementing and working with Data Lake/Data Warehouse solutions
- Understanding of Data Governance principles
Nice to have
- Coding experience with Python
- Hands-on experience with Data Platforms (Snowflake, dbt, Alteryx, Databricks...)
Interview Process Heads-Up
We rely on AI tools to help us streamline the process and anticipate technical and english assessment before formal interviews, but they do not hold the final word on choosing the candidates. You will be asked to answer questions via voice message, be prepared to discuss:
- Specific examples of navigating organizational challenges
- Strategies to investigate and resolve pipeline failures and data quality
- How to redesign pipelines with high loadtime handling historical data and updated records
- Data Governance implementation strategies that are GDPR compliant
We're looking for substance over certifications. Show us your anlytical mind and thinking process to deal with complexities.
