Senior Data Engineer

Intec Select
London
5 months 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

Senior Data Engineer – Hybrid / London - £130K + Bonus & Benefits – FinTech


Overview:

An established global FinTech organisation is seeking a skilled Senior Analytics Engineer / Data Engineer to help define and manage its analytical data models and semantic layers.

You will support the development of reliable, well-structured datasets that enable accurate reporting, improved data accessibility, and better decision-making across the business.

Fluent Russian language skills are essential for this role.


Role & Responsibilities:

  • Build and maintain scalable semantic/analytics layers to create consistent business metrics and definitions.
  • Work with teams across the business to understand requirements and translate them into reliable models.
  • Develop core data models following modern data warehouse principles.
  • Write high-quality SQL and maintain dbt-based transformations, tests, and documentation.
  • Support colleagues by ensuring data quality and clarity throughout the analytics ecosystem.
  • Collaborate with data engineering teams to shape upstream data needs.
  • Work with analysts and data consumers to promote usability and data literacy.


Essential Skills & Experience:

  • Fluent Russian language proficiency.
  • Experience as an Analytics Engineer or Data Engineer, particularly in data modelling.
  • Strong SQL and hands-on dbt experience.
  • Ability to convert business requirements into logical, scalable data models.
  • Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery).
  • Strong communication and documentation skills.
  • Structured, detail-oriented mindset.

Desirable:

  • Experience with semantic modelling tools (e.g., dbt SL, LookML).
  • Familiarity with workflow orchestration and BI tooling.
  • Version control experience (Git).
  • Python for scripting.


Offer Details:

  • Type: Permanent
  • Location: London / Hybrid (4X per week in London)
  • Compensation: £130K & Bonus + benefits
  • Health & wellbeing support
  • Learning & development opportunities
  • Social / team activities

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.