National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

Warrington
4 weeks ago
Create job alert

Focus 5 Recruitment are working with an exciting software business to help recruit a Data Engineer. The company have just been awarded 2 large contracts with international Mobile Network Operators. Appointed to help them source a Data Engineer, we’re looking for an experienced Data Engineer to design and optimize our client’s data pipelines and storage solutions.
This is an amazing opportunity to work with a growing and ambitious software business who have contracts with some of the world’s leading mobile network companies. They are looking for candidates who can come in at a key point in their growth and develop their career as they grow.
Key responsibilities for the Data Engineer –

  • Design and build high-performance, low-latency data pipelines capable of processing large volumes of data at high speed.
  • Develop and enhance real-time and batch data processing architectures.
  • Manage both structured and unstructured data, ensuring efficient ingestion, transformation, and storage.
  • Deploy scalable data storage solutions across bare metal and cloud platforms (AWS).
  • Optimize databases, data lakes, and messaging systems for maximum throughput and minimal latency.
  • Collaborate with DevOps and software engineering teams to maintain seamless data integration and flow.
  • Implement monitoring, logging, and alerting systems to track data pipeline performance and integrity.
  • Uphold data security and compliance across all environments.
    Data Engineer experience we’re looking for -
  • Demonstrated expertise in designing and deploying data architectures for high-velocity, high-throughput systems.
  • Strong proficiency in real-time data streaming technologies such as Kafka, Pulsar, and RabbitMQ.
  • Extensive experience with high-performance databases, including PostgreSQL, ClickHouse, Cassandra, and Redis.
  • In-depth knowledge of ETL/ELT pipelines, data transformation, and storage optimization.
  • Skilled in working with big data frameworks like Spark, Flink, and Druid.
  • Hands-on experience with both bare metal and AWS environments.
  • Strong programming skills in Python, Java, and other relevant languages.
  • Proficiency in containerization technologies (Docker, Kubernetes) and infrastructure as code.
  • Solid understanding of data security, encryption, and compliance best practices.
    Preferred Qualifications -
  • Experience working with telecom or financial systems.
  • Background in government or defence-sector projects.
    This is an exclusive role with a key client. For immediate consideration and full details, please submit an application ASAP

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.