Lead data Engineer - Financial Markets - Day rate

London
9 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Thrilled to announce a fantastic opportunity for a Data Engineering Lead -Financial Markets Specialist!

Location: London City
Rate: £525 per day
Contract: Outside IR35

The Role
We're on the lookout for a stellar Data Engineering Lead with solid experience in Financial Markets. This contract role is perfect for someone who can deliver high-impact results quickly.

Why This Role is Ideal for You
Imagine working in the heart of London's financial district, balancing remote work with the dynamism of in-office collaboration! Plus, it's outside IR35.

Your Profile
The ideal candidate will possess:
-🟢 Extensive Experience as a Lead Engineer: Proven track record of delivering complex data projects.

  • 🟢 Financial Markets Expertise: Essential experience in Financial Markets, preferably on the sell-side.
  • 🟢 Azure Data Engineering and Databricks Mastery: Crucial expertise in these platforms.
  • 🟢 Data Quality, Metadata Management, Data Architecture: Highly valued proficiency.
  • 🟢 Advanced Scala/Spark Skills: Necessary for complex ELT processes.

    Selection Process
    To find the best fit, candidates will undergo:
  1. Technical Data Task: Hands-on Scala/Spark test focused on ELT capabilities.
  2. Discussion: A 15-minute chat to explain your approach and reasoning.

    This role is perfect for a Data Engineering Lead ready to take on a rewarding challenge. If you have the skills and experience described above, Drop me a message or apply

    #dataengineering #financialmarkets #hiringnow

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.

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

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

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.

Neurodiversity in Data Engineering Careers: Turning Different Thinking into a Superpower

Every modern organisation runs on data – but without good data engineering, even the best dashboards & machine learning models are built on sand. Data engineers design the pipelines, platforms & tools that make data accurate, accessible & reliable. Those pipelines need people who can think in systems, spot patterns in messy logs, notice what others overlook & design elegant solutions to complex problems. That is exactly why data engineering can be such a strong fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a data engineering career, you might have heard comments like “you’re too disorganised for engineering”, “too literal for stakeholder work” or “too distracted for complex systems”. In reality, the traits that can make traditional office environments hard often line up beautifully with data engineering work. This guide is written for data engineering job seekers in the UK. We’ll cover: What neurodiversity means in a data engineering context How ADHD, autism & dyslexia strengths map to common data engineering tasks Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data engineering – & how to turn “different thinking” into a genuine professional superpower.