We are sharing a specialised full-time consulting opportunity for UK-based Data Engineers with hands-on experience building and operating production data pipelines, platforms, and modern analytics infrastructure.
This short, intensive project focuses on producing professional data-engineering deliverables based on the kinds of systems, documentation, and technical decisions encountered in day-to-day production work. Selected experts will contribute practical judgement across data pipelines, orchestration, streaming, warehousing, and cloud data platforms.
Key Responsibilities
Data Pipeline Engineering
- Design and document production-grade data pipelines
- Work across ETL and ELT workflows
- Assess data movement, transformation, and processing requirements
- Apply practical engineering judgement to realistic data-platform scenarios
- Produce clear technical deliverables reflecting professional data-engineering practice
SQL & Python Development
- Apply strong SQL and Python skills to data engineering workflows
- Develop or review transformations, processing logic, and supporting technical materials
- Evaluate data-processing approaches for correctness and scalability
- Structure technical work clearly for downstream review
- Apply production experience rather than purely theoretical knowledge
Workflow Orchestration
- Work with orchestration concepts and platforms such as Airflow
- Design or assess dependency management and scheduled data workflows
- Review pipeline sequencing and operational considerations
- Identify issues affecting reliability or maintainability
- Document orchestration decisions clearly
Streaming & Distributed Processing
- Apply experience with streaming and large-scale data processing
- Work with technologies such as Kafka and Spark
- Evaluate architecture and implementation choices for distributed workloads
- Assess reliability, scalability, and data-flow considerations
- Apply practical judgement from production environments
Data Warehousing & Analytics Engineering
- Work with modern data warehouse and analytics architectures
- Apply experience with platforms such as Snowflake, BigQuery, or Databricks
- Develop or review transformation workflows using tools such as dbt
- Assess data modelling and warehouse design decisions
- Produce structured deliverables reflecting real-world analytics engineering practice
Cloud Data Platforms
- Apply experience working with data systems on AWS, GCP, or Azure
- Review cloud architecture and platform decisions
- Assess data-storage, processing, and integration approaches
- Evaluate technical trade-offs across cloud-based data environments
- Document implementation and architecture decisions clearly
Technical Documentation
- Produce professional documents and deliverables based on real data-engineering work
- Explain architectural and implementation decisions clearly
- Structure technical information so that workflows and assumptions can be reviewed consistently
- Document production practices, constraints, and engineering considerations
- Contribute to projects where documentation and structured technical reasoning are central to the work
Ideal Profile
- Hands-on professional experience as a Data Engineer, Senior Data Engineer, Staff Data Engineer, Analytics Engineer, Data Platform Engineer, Data Architect, or closely related professional
- Strong production experience building and owning data pipelines
- Strong proficiency in SQL and Python
- Practical experience across ETL/ELT, orchestration, streaming, and data warehousing
- Experience with relevant technologies such as:
- Spark
- Kafka
- Airflow
- dbt
- Snowflake
- BigQuery
- Databricks
- Experience working with AWS, GCP, or Azure
- Comfortable producing both hands-on technical work and structured professional documentation
- Able to work independently while collaborating with specialists from adjacent technical domains
- Must be based in the United Kingdom
- Must have the right to work in the United Kingdom
Engagement Details
- Full-time independent contractor engagement
- Fully remote within the United Kingdom
- Compensation: $130–$190/hour
- Expected commitment: 40 hours per week
- Project period: 14 September to 10 October 2026
- Collaboration follows UK business hours
- Candidates should not be committed to other projects requiring significant hours during this engagement
- Smaller side projects may be compatible with the engagement
- Selection includes a resume and work-history review plus a short domain-expertise assessment
- Projects may be extended, shortened, or concluded based on project needs and performance
- Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party
- H1-B and STEM OPT support is unavailable for this engagement
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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