Data Engineer – UK-Based

24-MAG

UK-based Data Engineer building production pipelines, orchestration, streaming, and analytics infrastructure for 24-MAG consulting projects. Producing structured technical deliverables and documentation from real-world data engineering work.

Posted 9/8/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSenior💰 $130 - $190 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and documenting production-grade data pipelines, with strong proficiency in SQL and Python. Capable of evaluating and implementing data processing architectures across cloud platforms such as AWS, GCP, or Azure.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencyPython ProgrammingETL/ELT WorkflowsCloud Architecture Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignSQLPythonETLELTData WarehousingData ModelingStreaming ProcessingDistributed ProcessingTechnical Documentation

Soft Skills

CollaborationIndependent WorkClear Communication

Tools & Technologies

SparkKafkaAirflowDbtSnowflakeBigQueryDatabricksAWSGCPAzure

Industry Keywords

Data EngineeringData ArchitectureData ProcessingCloud PlatformsAnalytics

Tech Stack

Tools & technologies

AirflowAWSAzureBigQueryCloudETLGoogle Cloud PlatformKafkaPythonSparkSQL

About the role

Key responsibilities & impact

Design and document production-grade data pipelines
Work across ETL and ELT workflows
Assess data movement, transformation, and processing requirements
Produce technical deliverables based on realistic data-platform scenarios
Develop or review SQL and Python transformations and processing logic
Evaluate data-processing approaches for correctness and scalability
Design or assess orchestration, dependency management, and scheduled data workflows
Review pipeline sequencing and operational reliability considerations
Apply streaming and large-scale distributed processing experience using technologies such as Kafka and Spark
Evaluate distributed architecture and implementation choices
Work with data warehouse and analytics architectures using platforms such as Snowflake, BigQuery, or Databricks
Develop or review transformation workflows using tools such as dbt
Assess data modelling and warehouse design decisions
Review cloud architecture and platform decisions across AWS, GCP, or Azure
Assess data storage, processing, and integration approaches
Produce professional technical documentation and structured deliverables
Explain architectural and implementation decisions clearly
Document production practices, constraints, assumptions, and engineering considerations
Collaborate with specialists from adjacent technical domains

Requirements

What you’ll need

Must have 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 Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, or Databricks
Experience working with AWS, GCP, or Azure
Comfortable producing 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
Expected commitment of 40 hours per week
Candidates should not be committed to other projects requiring significant hours during this engagement
Resume and work-history review plus a short domain-expertise assessment
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

Benefits

Comp & perks

Fully remote within the United Kingdom
Full-time independent contractor engagement
Potential project extensions
Flexible compatibility with smaller side projects
Remote consulting opportunity
Work aligned with UK business hours