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

Apply Now

Senior Data Engineer - 12 Month FTC

BMS Group
City of London
2 days ago
Create job alert

BMS Group City Of London, England, United Kingdom

BMS Group City Of London, England, United Kingdom

Reports to: Head of Data Platforms

Location: London

About the Role:

We are seeking a highly motivated and skilled Senior Data Engineer to join our growing Data Platforms team at BMS Group. In this role, you will play a pivotal role in supporting BMS’s ambition to fully realise the benefits of a Lakehouse platform deployed within Azure. Working under the Head of Data Platforms you will help manage, and implement the data engineering pipelines within Azure to ingest, enrich, and curate our; structured, semi-structured and unstructured data from our global business. In this role you will help lead a small team of engineers who you will be responsible for developing to support the business objectives of delivering a scalable and efficient platform for the business.

Key Responsibilities:

  • Responsible for owning and managing all data engineering pipelines and layers of the Lakehouse platform.
  • Responsible for managing the prioritisation of data engineering backlog.
  • Responsible for managing the peer review and testing process of any pipeline releases.
  • Continuously engage with Head of Data Platforms, Group Head of Data Strategy and Governance and Architecture to understand the evolving needs of the business so that they can be supported by the Lakehouse platform.
  • Own, with the support of Head of Data Platforms, the definition of standards and best practices for BMS’s data engineering pipelines in relation to; code as well as documentation.
  • Continuously monitor and analyse pipelines to identify opportunities for optimisation and efficiencies.
  • Work within plan-driven (Waterfall) or iterative (Agile) delivery methodologies based on project requirements.
  • Continuously learn and develop your skills to stay ahead of the curve in the evolving data landscape.
  • Develop and implement generalised data engineering pipelines, based on patterns, to create efficient, scalable, and manageable pipelines.
  • Collaborate with other central IT functions to ensure that the necessary access to systems and technology is granted based on the evolving needs of the team.
  • Build a comprehensive understanding of both technical and business domains.
  • Collaborate with cross-functional teams to understand and address data engineering and data needs.

Knowledge and Skills:

  • Experience working as a principal/lead Data Engineer.
  • Experience working with large data sets and proficiency in SQL, Python and PySpark.
  • Experience manging a team of engineers with varying levels of experience within data engineering.
  • Experience deploying pipelines within Azure Databricks in line with the medallion architecture framework.
  • Experience using SQL, Python and PySpark to build data engineering pipelines.
  • Understanding of how to define best practices in relation to documentation standards as well as code standards.
  • Understanding of data modelling approaches and standards
  • Understanding of semantic modelling techniques and how data is consumed from a Lakehouse to support them.
  • Excellent communication and problem-solving skills.
  • Experience working within an agile environment.
  • Assist with the upskilling and continued improvement of junior members of the team

Desired skills and experience:

  • Experience in the London Insurance Market, or the wider Financial Services sector
  • Experience building and deploying machine learning pipelines into data engineering pipelines.
  • Experience of using metadata driven data engineering approaches for ingestion and transformations within data pipelines.

Success Metrics:

  • Manage and maintain high-quality and efficient data engineering pipelines to meet the technical requirements of the business.
  • Share knowledge and expertise to develop and upskill your team to become better and more effective data engineers.
  • Contribute to our team culture by creating a positively challenging environment.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeContract

Job function

  • Job functionInformation Technology
  • IndustriesInsurance, Financial Services, and Information Services

Referrals increase your chances of interviewing at BMS Group by 2x

Sign in to set job alerts for “Senior Data Engineer” roles.

City Of London, England, United Kingdom £85,000.00-£85,000.00 2 weeks ago

Senior Data Analyst - Up to £140,000 + Huge Bonus + Benefits - London/HybridSenior Data Analyst - TikTok LIVE - London

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 day ago

London Area, United Kingdom £125,000.00-£200,000.00 21 hours ago

London, England, United Kingdom 1 month ago

Senior Data Analyst / Data Business Analyst – Investment Management / Asset Management

Slough, England, United Kingdom 4 weeks ago

London, England, United Kingdom 2 months ago

Senior Data Analyst - Pricing Data Engineering & Automation, CUO Global Pricing

London, England, United Kingdom 2 days ago

Senior Government Finance Function (GFF) Data Architect / Engineer

London, England, United Kingdom 5 days ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 week ago

Senior Data Analyst, Reporting & Operations

London, England, United Kingdom 2 days ago

London, England, United Kingdom 2 hours ago

London, England, United Kingdom 1 week ago

Principal Solution Engineer AI and Data Use Governance

London, England, United Kingdom 2 weeks ago

City Of London, England, United Kingdom 1 week ago

London, England, United Kingdom 22 hours ago

Principal Solution Engineer – AI and Data Use Governance

London, England, United Kingdom 2 days ago

Senior Lead Software Engineer - Team Lead - Accelerator Business

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 months ago

London, England, United Kingdom 1 month ago

City Of London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer | Cambridge | Greenfield Project

Senior Data Engineer - Azure, BI & Data Strategy

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.

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.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.