Data Engineer

BIOMETRIC TALENT
United Kingdom
Yesterday
£450 – £500 pd

Salary

£450 – £500 pd

Job Type
Contract
Work Pattern
Full-time
Work Location
Remote
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Yesterday)

Location: Remote, UK

Salary: Up to £500 per day, Outside IR35

Duration: Initially 3 months with high probability of further extensions

Industry: Consultancy

About the Client

Our client is a growing UK-based IT services and consulting firm with strong expertise in cloud, security, infrastructure, and managed services. With a team of over 450 specialists spanning software development, network engineering, cyber security, project management and support, they serve a diverse client base across the private and public sectors. Driven by innovation and quality, they combine strategic thinking with deep technical capability to deliver transformational technology solutions.

How you’ll spend your day

As a Data Engineer, you’ll play a key role in designing, building, and optimising modern data platforms within a cloud-first environment, working across both batch and real-time data solutions.

You’ll be responsible for:

* Designing and building scalable ETL/ELT pipelines using Microsoft Fabric and Azure Data Factory

* Developing robust data solutions using Python, PySpark, and T-SQL for transformation and orchestration

* Implementing data ingestion frameworks across multiple sources (APIs, files, streaming, CDC)

* Designing and maintaining data models (star schema, snowflake, medallion architecture) optimised for analytics and reporting

* Collaborating closely with BI teams to ensure data models support Power BI and downstream analytics use cases

* Building and maintaining Lakehouse and data warehouse solutions within Microsoft Fabric

* Ensuring data quality, governance, and security standards are implemented across platforms

* Monitoring and optimising performance across pipelines, databases, and data platforms

* Supporting CI/CD processes using Azure DevOps and Git-based workflows

* Working with cross-functional teams (Data, BI, AI, and stakeholders) to translate business requirements into scalable data solutions

* Contributing to architecture decisions and evolving the overall data platform strategy

What you’ll bring to this role

We’re looking for a technically strong Data Engineer with experience across modern cloud data platforms and a passion for building high-quality, scalable solutions.

You’ll bring:

* Strong experience in data engineering, data modelling, and pipeline development

* Hands-on experience with Microsoft Fabric and Azure data services (ADF, Data Lake, Synapse, Databricks)

* Proficiency in Python / PySpark and T-SQL for data processing and optimisation

* Experience designing and implementing ETL/ELT pipelines, including orchestration and monitoring

* Solid understanding of data modelling techniques (Kimball, star schema, medallion architecture)

* Experience working with batch and streaming data pipelines

* Familiarity with CI/CD practices using Azure DevOps and Git

* Strong understanding of data governance, security, and best practices (RBAC, GDPR, data quality frameworks)

* Experience collaborating with BI teams, with working knowledge of Power BI and DAX concepts

You’ll also demonstrate:

* Strong analytical and problem-solving skills

* The ability to translate complex requirements into practical solutions

* Excellent communication and stakeholder management skills

* A proactive, adaptable mindset in fast-paced environments

* A collaborative approach, with a focus on continuous improvement and knowledge sharing

What happens next?

One of our Recruitment Consultants will be in touch and inform you if you’ve been successful to the next stage of the process or not, which is a qualification call where we will tell you more about the role and the client, and understand more about you, your experience and career aspirations.

Should we both wish to proceed, we will submit your details to the client and be in touch regarding the outcome and any further steps.

Equal Opportunities

We are committed to providing equal opportunities for all candidates and welcome applications from individuals regardless of age, disability, gender identity, marital status, race, religion or belief, sexual orientation, or any other characteristic protected by law. As an employment agency for permanent and contract hires, we are dedicated to promoting a diverse and inclusive workforce, and we encourage applications from underrepresented groups to drive innovation and equality within the workplace.

Should you require any reasonable adjustments please let us know so we can accommodate for any interactions with us at Biometric Talent, but also inform the client to ensure reasonable adjustments are made to allow for a fair and equitable process

Related Jobs

View all jobs

Data Engineer

Noir Switzerland, United Kingdom
£87,291 – £113,478 pa Hybrid

Data Engineer

Lynx Recruitment London, United Kingdom
£40,000 – £85,000 pa On-site

Data Engineer

Gleeson Recruitment Group Birmingham, United Kingdom
£65,000 – £75,000 pa On-site

Data Engineer

Sanderson Cardiff, Cymru / Wales, CF10 2AF, United Kingdom
£60,000 – £72,000 pa Hybrid

Data Engineer

hireful Exeter, United Kingdom
£50,000 – £55,000 pa Hybrid

Data Engineer

Robert Walters Manchester, United Kingdom
£55,000 – £60,000 pa Hybrid

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.