Data Engineer | Dynamic Tier 1 Investment Management Firm

Selby Jennings
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Azure Data Engineer | Hybrid, 30 Days Leave, £4k Training

Senior Data Engineer – Anti-Piracy | Hybrid & Impactful

Senior Data Engineer

Data Engineer

Data Engineer | Hybrid Role with Azure Data Factory & SSIS

This range is provided by Selby Jennings. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Selby Jennings

We are on the lookout for a talented Data Engineer to join a high performing fund in London, responsible for building and maintaining a state-of-the-art data platform for portfolio managers and quants. This role is crucial in developing the core components that will support our team for years to come.

Key Responsibilities:

  • Develop and enhance a modern data platform and data-intensive applications, including ingestion, ETL, data quality, storage, and APIs.
  • Collaborate with quantitative engineers and researchers to meet business requirements.
  • Work towards a balance of feasibility, stability, scalability, and time-to-market for solutions
  • Work within a global team to deliver scalable, stable, and timely solutions.

What We're Looking For:

  • Over 5 years of experience in data engineering or a similar role.
  • Strong expertise in SQL and relational databases.
  • Proficiency in Python and data-manipulation libraries/frameworks (e.g., Pandas, Polars, Dask, Vaex, PySpark).
  • Excellent debugging skills and problem-solving abilities.
  • Experience with financial instruments/software in areas such as research, risk management, portfolio management, etc.
  • Knowledge of distributed data components (e.g., Kafka, Redis).
  • Experience in building data platforms/ETLs, including batch and streaming, and data lake/warehouse/lakehouse patterns.
  • Familiarity with column-oriented data storage and serialisation formats (e.g., Parquet/Arrow).
  • Skills in code optimisation and performance tuning.

Beneficial to have:

  • Familiarity with tools like Prometheus, Grafana, Sentry for monitoring and tracing.
  • Familiarity with ClickHouse, Snowflake, or KDB.

Ready to make an impact in the world of data engineering? Apply now and join our forward-thinking team!



Seniority level

  • Seniority levelEntry level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesInvestment Management

Referrals increase your chances of interviewing at Selby Jennings by 2x

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

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London Area, United Kingdom $150,000.00-$200,000.00 1 week ago

London, England, United Kingdom 4 weeks ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 week ago

Graduate Software Engineer 2025 - RegTech

London, England, United Kingdom 4 weeks ago

Greater London, England, United Kingdom 2 months ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

Data Engineer (open to the UK and Europe)

Greater London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 5 months ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 15 hours ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 3 weeks 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

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 Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.