Data Engineer – UK-Based

Job not on LinkedIn

🔥 17 minutes ago

🇬🇧 United Kingdom – Remote

💵 $130 - $190 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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24-MAG

WebsiteLinkedInAll Job Openings

2 - 10 employees

🤝 B2B

💼 Consulting

B2B • Consulting

24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.

📋 Description

• 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

• 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

• 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