Interim Azure Data Platform Administrator / Data Engineer (gn)

hinzugefügt 07/04/2026

• Exciting Company
• Exciting Oppurtunities

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)

Kontakt

Kai Gehrmann

Referenznummer

JN-042026-6989148

Telefonnummer

+49211863249094