About the role

  • 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.
  • Vacation days plus 6 personal days per year.
  • Casual work environment: jeans-friendly!

Job title

Data Engineer – Consulting

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job