Senior Data Engineer - Large-Scale ETL & Analytics

HIVE-X; Belgique; Remote; 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

Thank you for not contacting Athora directly. You can reach out to ProUnity [e-mail]. Do NOT try and contact the Hiring Manager directly please. It is not appreciated. Only the applications that meets’Athora’spredefined criteria (skills, work experience, language skills and availability) in this job post will be considered. If the above is not respected, Athora and/or ProUnity reserves the right to reject the candidate. In attachment you can find different annexes part of the Framework Agreement of Athora. When proposing (a) candidate(s) you confirm you accept the conditions being part of the Framework Agreement. MISSION DESCRIPTION & CONSULTING PROFILE Description of The Mission 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 Qeuries Tune SQL and jobs Maintain existing jobs, fix failures, manage changes/releases, and support new onboardings. Expected role & responsibilities during the mission: 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 Description of The 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 – 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