Interim Azure Data Platform Administrator / Data Engineer (gn)

apartmentMichael Page placeEssen calendar_month 

Firmenprofil

Start: 30 April 2026 (or earlier if possible)
Project Duration: Until 24 December 2026
Workload: 16-18 hours per week (min. 2 days/week, ideally 3-4 hours/day)
Location: Remote
Industry: Engineering / Technology / Data Platforms

Project Language: English (fluent)

Aufgabengebiet

Responsibilities
  • Design and implement scalable data storage solutions in Azure
  • Develop data processing solutions across structured, unstructured, and streaming sources
  • Integrate, transform, and consolidate data to deliver analytics‑ready models
  • Design and operate secure, compliant, and high‑performing data pipelines
  • Optimize platform stability, system efficiency, and data quality
  • Implement file partitioning strategies in Azure Synapse Analytics
  • Identify partitioning requirements in ADLS Gen2
  • Use SQL Serverless and Spark clusters to create and run queries
  • Develop and operate incremental data loads
  • Transform data using Apache Spark and/or T‑SQL
  • Ingest and transform data using Synapse Pipelines
  • Implement duplicate‑handling and error‑handling mechanisms
  • Develop batch processing solutions using ADLS Gen2
  • Work with Delta Lake (read/write, incremental updates)
  • Implement and operate Azure Synapse Link
  • Create, schedule, and monitor data pipelines
  • Integrate Python notebooks into data pipelines
  • Trigger and validate batch runs; handle failures
  • Monitor and optimize pipeline and query performance

Anforderungsprofil

Required Qualifications
  • 3+ years of hands‑on experience with Azure Synapse Workspace (pipelines, notebooks, SQL endpoints, lake database)
  • Strong SQL and Python experience
  • Deep practical experience with:
  • Pipelines
  • Notebooks
  • ADLS Gen2
  • SQL endpoints
  • Lake Database
  • Strong English communication skills (written & spoken)
  • Experience in designing, building, and operating modern Azure data platforms
  • Ability to independently diagnose and optimize data pipelines and storage strategies
Nice‑to‑Have Skills
  • Airflow
  • Spark Delta Table libraries
  • Certifications such as DP‑700 (Microsoft Fabric Data Engineering)

Vergütungspaket

Does the project sound interesting?

I look forward to your response with the following information:

  • Your earliest availability
  • Your maximum weekly capacity
  • Can you regularly deliver this workload?
  • Your hourly rate (remote)
  • Your current profile (PDF)
  • A brief comment on your suitability (referencing the tasks & requirements listed above)
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