Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

Adecco
Manchester
4 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer
Location: Manchester (Hybrid)
Type: Temporary ongoing - March 2026
Salary: 35-40ph

About the Role

We're supporting a well-established organisation in the finance sector who are in search of a skilled Data Engineer. This is a fantastic opportunity to join a forward-thinking business that places data at the centre of its operations and is investing heavily in its analytics capabilities.

Role Overview

As a Data Engineer, you'll be responsible for developing and maintaining robust data pipelines that support business intelligence and analytics. You'll work closely with stakeholders to understand their data needs and translate them into scalable, SQL-driven workflows. Your work will directly support strategic decision-making by ensuring data is clean, reliable, and accessible.

Key Responsibilities

  • Build and maintain efficient ETL pipelines to support data transformation and integration.
  • Collaborate with business teams to gather requirements and deliver tailored data solutions.
  • Design and implement structured data models and marts for specific business functions.
  • Ensure high standards of data quality, consistency, and performance.
  • Support automation and scheduling of data workflows to streamline operations.

Required Skills & Experience

To succeed in this role, you'll need hands-on experience with the following tools and technologies:

  • ETL Tools: Informatica IICS
  • SQL Server: Including SSMS and stored procedures
  • SQL Server Migration Assistant (SSMA)
  • Advanced SQL: Strong query writing and optimisation skills
  • Unix/Linux Shell Scripting
  • Version Control: GitHub
  • API Integration: Experience working with RESTful APIs
  • Alteryx: For data preparation and automation
  • Data Visualisation: Experience with dashboarding and reporting tools
  • Workflow Automation & Scheduling: Using relevant tools and platforms
  • Documentation & Communication: Ability to clearly document processes and communicate technical concepts to non-technical stakeholders

What You'll Bring

  • A proactive mindset with a passion for solving complex data challenges.
  • Strong analytical thinking and attention to detail.
  • Ability to work independently and manage multiple priorities.
  • A collaborative approach and willingness to contribute to team success.

What's on Offer

  • Competitive salary and benefits package.
  • Flexible hybrid working model.
  • Opportunity to work with a high-performing team in a data-driven environment.

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.


#J-18808-Ljbffr

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.