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

Apply Now

Senior Data Engineer - Leeds

FDM Group
Leeds
6 days ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Azure, BI & Data Strategy

About The Role

FDM is a global business and technology consultancy seeking a Senior Data Engineer with GCP experience to work for our client within the finance sector. This is initially a 6-month contract with the potential to extend and will be a hybrid role that will be based in Leeds.

Our client is pioneering the transformation of current processes from their on-premises infrastructure and have started their journey in deploying solutions on the Google Cloud Platform. This role sits within the platform's Analytics Lab, who are looking to create strategic data products and build data and analytics capability.

Our client is seeking someone who wants to further develop their engineering skillset. They will support you to be able to be able to take on technical challenges and develop your understanding of how data solutions and services are developed, tested, and implemented.

Responsibilities

  • Design, develop, maintain, and improve data processes to support regulatory and prudential change with high quality solutions and providing oversight and leadership to help others do the same
  • Building data pipelines for current and future analytics and reporting solutions
  • Implement and embody engineering standards, using constructive feedback to create opportunities for learning
  • Work with the Product Owner and customers to understand, refine and prioritise items for the feature team backlog
  • Using strong problem-solving skills and a combination of technical knowledge, experience, and judgement to identify available options and clearly set out the way forward

About You

Requirements

  • At least 5 years of experience as a data engineer with experience of GCP and good Cloud understanding
  • Passion for software and data engineering, adopting the mindset of a curious engineer
  • Experience of dbt, SQL, Python, Java, SAS or other open-source technologies used for analytics
  • Ability to understand business requirements and create business ready solutions
  • Show well-developed interpersonal, communication and influencing skills, particularly the ability to convey key business information arising from complex issues to non-technical people
  • Knowledge of Terraform
  • Data engineering background and good knowledge of waterfall and agile development practices
  • Insights into industry solutions for data management, storage and analytics coupled with experience of financial data, including Credit Risk, and Capital & Impairment processes

About Us

Why join us

  • Career coaching, mentoring and access to upskilling throughout your entire FDM career
  • Assignments with global companies and opportunities to work abroad
  • Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field
  • Annual leave, work-place pension and BAYE share scheme

About FDM

We are a business and technology consultancy and one of the UK's leading employers, recruiting the brightest talent to become the innovators of tomorrow. We have centres across Europe, North America and Asia-Pacific, and a global workforce of over 3,500 Consultants. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer and is listed on the FTSE4Good Index.

Diversity and Inclusion

FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.
#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.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.