Data Engineer at KPI specializing in cloud-based digital evolution and data integration projects. Collaborating with data scientists to ensure reliable and accessible data for clients.
Responsibilities
Design and implement projects that integrate data from multiple sources to support analysis and decision-making.
Ensure data is accessible, reliable, and easy to work with for both routine and ad-hoc needs.
Collaborate closely with data scientists and AI engineers to support software solution development.
Requirements
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
Minimum of five years of experience in data engineering or a related field.
Demonstrated ability to optimize and troubleshoot data engineering processes.
Strong proficiency in Python and database management systems (T-SQL, SQL, NoSQL), including query optimization.
Solid foundational software engineering skills; familiarity with DevOps, UNIX, Git, Docker, and object-oriented principles.
Experience with data processing tools and frameworks such as Apache Spark, Apache Flink, Snowflake, dbt, Airflow, Dagster, and Databricks.
Understanding of data storage, collection, and aggregation models—and how to apply them to business problems.
Knowledge of database indexing, especially clustered columnstore tables.
Strong ability to handle, analyze, and interpret data.
Understanding of data security both at rest and in transit.
Ability to deliver and scale performance, anticipating system enhancements proactively.
Experience with data integrity practices, including data manipulation, error handling, and modeling.
Experience deploying Docker-based solutions in cloud environments.
Benefits
The opportunity to join and grow an ever-expanding professional network of high-profile clients and reputable colleagues.
Permanent, full-time job (40 hours a week).
Hybrid (work from home and/or office) and flexible schedule.
Competitive salary and bonus structure.
Attractive group insurance plan.
Retirement savings plan with matching.
Family company culture.
Flex-Fridays in the summertime.
Free use of the gym within building.
Subsidized catering service & free snacks at the office.
Data Architect designing and developing end - to - end data pipelines for actionable insights at Swiss Re. Collaborating with stakeholders to deliver scalable, efficient data solutions.
Senior Data Engineer responsible for architecting analytics solutions for SAP and Azure at Swiss Re. Collaborating with business stakeholders and mentoring junior engineers in a dynamic finance landscape.
Lead Data Engineer managing data architectures and pipelines for LUZA Group. Oversee end - to - end project delivery while promoting best engineering practices.
AWS Data Engineer II responsible for designing and developing data pipelines in AWS cloud environment. Building scalable ETL jobs and collaborating with teams to enhance data integration.
Functional Lead overseeing Data Architecture and cross - functional projects for global business data platform. Joining a diverse team for fact - based decision - making and growth opportunities.
Lead Data Engineer responsible for designing and implementing enterprise data platform at Ness Digital Engineering. Collaborating across teams to optimize performance and ensure data integrity in engineering processes.
Data Engineer designing, building, and maintaining data - driven solutions at IFF. Supporting business decision - making with data analytics in the Flavor industry.
Data Engineer crafting powerful data platforms at Kyndryl. Ensuring pristine data is accessible to decision - makers and transforming raw data into actionable insights.
Data Engineer specializing in AWS services and data pipeline development. Collaborating with teams to maintain data infrastructure and ensure data integrity.