Data Engineer

Digital Hive is looking for a Data Engineer.

Are you looking for a new challenge? Does data make your heart beat faster? Do you have the ambition to work for large, international clients? If you are looking to work in a team that's active in multiple international companies, Digital Hive is currently looking for an experienced Data Engineer to grow their European data practice.

Digital Hive is a consulting company with a focus on people-first and personal growth. We foster a strong culture of knowledge sharing and self-improvement. Our focus is on larger, international customers where we have to opportunity to work as a team, with state of the art technology.

As a Data Engineering professional, we expect you to be confident in applying data modelling and architecture principles (ER-modelling, normalization, ETL/ELT, tiered data warehouses, ...).

You should have experience with commonly used data processing and transformation tools and languages (SQL, Python, DBT, ...) as well as general software engineering best practices (version control/git, unit testing, ...) and Agile Scrum methodology and tools (Jira, Confluence, ...).

Your analytical and problem-solving mindset will help us expand and improve our customer's data and data pipeline architectures. So, it is crucial to have a proactive, flexible, and goal-oriented mind, with good communication skills for functional and technical requirement iterations. As a consultant, we expect you to be able to communicate clearly with our customers and be quick and flexible in adapting to new environments.

• An analytical thinker with the ability to work and develop in massively scalable databases, cloud infrastructures, data transformation pipelines, or data migrations.
• A hands‑on problem solver with a great capacity to build and maintain the infrastructure to answer questions and improve processes,
• The ability to zoom out and consider the bigger picture.
• A professional that communicates clearly and effectively with customers (Honesty & transparency are cornerstones of this)
• Ability to build practical data pipelines that clean, transform, and aggregate data from various sources,
• Superb Team Player with a focus on delivering value.

• University degree in Computer Science/Information Technology, Mathematics, or a comparable education/experience,
• Strong knowledge of SQL and at least one programming language (Python, C#, Java, among others),
• Experience building and/or maintaining an enterprise data warehouse (Kimball, Inmon, Data Vault ...)
• Knowledge and experience building ETL processes.
• Excellent business English.

• Experience working with cloud platforms (Snowflake, Amazon Redshift, MS Azure, GCP)
• Experience with CI/CD principles and code repository tools (Git)
• Experience with Jupyter notebooks, Airflow, or Great Expectations.

• Exciting customers on a global scale, which means you can work on large data projects, with state-of-the-art infrastructure and technologies.
• Joyful offices in Belgium with a bold international environment,
• Wonderful colleagues that want to learn and thrive with you, and a strong culture of knowledge-sharing.
• Good work‑life balance, but if you can’t miss your colleagues, plenty of team events and after‑works.
• Continuous learning by following courses and/or training for certifications,
• Build on your career path and future ambitions.

• Holiday pay and 13th-month salary
• Net allowance, meal vouchers, lunch at the office, eco‑voucher
• Company car, laptop, phone budget, mobile subscription
• Group insurance (additional pension, life insurance, disability insurance, …)
• 32 holidays: 20 regular holidays, 40-hour work week with 12 compensation holidays
• An inspiring work environment surrounded by professional and engaged colleagues
• Opportunity to continuously learn, grow and develop your career
• Challenging projects with exciting customers on a global scale

We have offices at the Officenter in Hasselt, which offers us the possibility to work flexibly at any Officenter location in Belgium. Working from home is possible, but our preference is to regularly attend our…