BI / Data Engineer – Belgium (Hybrid)

HIVE-X; Belgique; Hybrid; USD 110,000 - 150,000; Full time

Job summary

Hive-X is seeking a Senior Data Engineer to support projects in the IT Front Data Team. This position involves building and maintaining data pipelines and schemas while ensuring optimal performance of SQL queries. The ideal candidate will have over 10 years of experience in data engineering, with strong competencies in SQL, Python, and AWS technologies. The role emphasizes independence, communication, and collaboration within teams, making a proactive mindset essential.

Qualifications

• Strong experience building and maintaining large-scale data pipelines.
• Proven ability to optimize complex queries across big datasets.
• Hands-on experience with ETL/ELT pipelines.

Responsibilities

• Build and operate the data foundation for analytics and reporting.
• Maintain and optimize batch/streaming data pipelines.
• Collaborate with stakeholders on requirements and deliver datasets.

Skills

SQL (advanced)

Python

AWS (Glue, S3, Redshift)

Job description

Mission Description

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

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). Competencies: 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 & 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 +