Senior Data Engineer - Pipelines, SQL & AWS; Redshift
Listed on 2026-10-29
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IT/Tech
Data Engineering, Data Analyst
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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
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)
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, team player. Demonstrate a proactive attitude.
Seniority expected:
Senior
Years of
Experience:
10 yr +
Required SkillsAWS (Glue, S3, Redshift), Python, SQL (advanced !)
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