BI / Data Engineer – Belgium (On-site)

Hive-X; Town of Belgium (WI); On-site; USD 120,000 - 150,000; Full time

Job summary

Hive-X is looking for a Senior Data Engineer to support projects related to data management and engineering. The role involves building and optimizing data pipelines, managing data lakes, and collaborating with stakeholders. Candidates should have over 10 years of experience, strong SQL, Python, and AWS skills. The position is based in the United States, Wisconsin, Town of Belgium, offering an opportunity to work in a dynamic environment focused on data analytics and business support.

Qualifications

• 10+ years of experience in data engineering.
• Strong experience with large-scale data pipelines and complex queries.

Responsibilities

• Build and operate data foundations for analytics and reporting.
• Maintain and optimize batch/streaming data pipelines.
• Design schemas and manage data lakes/warehouses.

Skills

SQL (advanced)

Python

AWS (Glue, S3, Redshift)

Job description

Mission Description & Consulting Profile

Title of the mission: Data Engineer in the IT Front Data Team

Goal of the mission: Support the projects: Transparency, Arizona, Verdi and BAU support tasks in the area of IT Front Data Management & Engineering

Technical Focus Areas

• Data Pipelines
• Data Modelling & Storage
• Complex SQL Queries
• Tune SQL and jobs
• Maintain existing jobs, fix failures, manage changes/releases, and support new onboardings.

Expected Role & Responsibilities

• Building and operating the data foundation that analytics, reporting depend on.
• Build, maintain, and optimize batch/streaming pipelines (ingestion -> transformation -> serving).
• Design schemas and models (e.g., dimensional, Data Vault) and manage & interrogate data lakes/warehouses (e.g., S3/ADLS + Redshift).
• Handle incident troubleshooting/root-cause analysis.
• Orchestration & Automation.
• Stakeholder collaboration.

Expected Profile

Knowledge

• SQL (advanced), Python, AWS (Glue, S3, Redshift)
• Strong experience building and maintaining large-scale data pipelines and optimizing complex queries across big datasets.
• Hands-on Data Engineering, ETL/ELT pipelines, data ingestion, transformation, optimization, debugging & incident resolution.
• Proven experience and ability working with project managers, business - and functional analysts, and source-system owners to clarify requirements and deliver datasets/data products.

Mindset

• Positive mindset including a will-can-do mentality, ability to work independently and manage / prioritize his/her own work.
• Efficient and transparent communicator, teamplayer.
• Demonstrate a proactive attitude.

Seniority Expected

Senior

Years of Experience

10 yr +

Required Skills

• AWS (Glue, S3, Redshift)
• Python
• SQL (advanced)