Senior Data Engineer

iO Associates - UK/EU
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer (AWS, Airflow, Python)

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

iO Associates - UK/EU provided pay range

This range is provided by iO Associates - UK/EU. 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 iO Associates - UK/EU

Senior Delivery Consultant - Java at iO Associates - UK/EU

Salary: Up to £100,000 D.O.E

Location: London (Hybrid 3 Days on site)

Are you a data engineer ready to make a real impact in a company that values innovation, autonomy, and excellence?

iO Associates is recruiting for a high-growth, forward-thinking investment firm that sits at the intersection of finance and technology - and they're looking for a Data Engineering Specialist to join their collaborative data team.

This is a unique chance to step into a role that offers both technical ownership and strategic influence, within a business that's genuinely committed to doing things differently. Our client is known for backing purpose-driven investments and building tech-enabled solutions that scale with the future of finance.

The Role:

Title: Senior Data Engineer

Salary: Up to £100,000 D.O.E

Location: London (Hybrid 3 Days on site)

Are you a data engineer ready to make a real impact in a company that values innovation, autonomy, and excellence?

iO Associates is recruiting for a high-growth, forward-thinking investment firm that sits at the intersection of finance and technology - and they're looking for a Data Engineering Specialist to join their collaborative data team.

This is a unique chance to step into a role that offers both technical ownership and strategic influence, within a business that's genuinely committed to doing things differently. Our client is known for backing purpose-driven investments and building tech-enabled solutions that scale with the future of finance.

The Role:

As a Data Engineering Specialist, you'll play a vital role in transforming how the business uses data. You'll lead critical migration projects, work with modern tooling like Snowflake, and help architect scalable, future-proof data solutions.

You'll also collaborate with business stakeholders, mentor colleagues, and drive improvements in data quality across the board - all while building slick, automated data pipelines in Python.

Key Responsibilities:

  • Lead data migration and integration tasks, ensuring quality and alignment across systems.

  • Design, implement, and optimise ETL processes to streamline data movement from diverse sources.

  • Build and enhance a robust Snowflake data warehouse to support evolving reporting needs.

  • Troubleshoot and resolve data quality issues, supporting business users with self-service access.

  • Develop Python-based automation tools and scalable pipelines.

  • Conduct data validation, cleansing, and rigorous testing to maintain data integrity.

  • Mentor junior engineers and champion best practices in data management and engineering.

  • Investigate and resolve challenges specific to the financial lending data environment.

What You'll Need:

  • Proven experience across the full data lifecycle - from ingestion and transformation to validation and analysis.

  • Strong Python skills and confidence building automation for large-scale data tasks.

  • Hands-on Snowflake experience.

  • Deep understanding of ETL/ELT pipelines and data governance standards.

  • A solid grasp of financial data or lending domain knowledge is highly desirable.

  • A passion for mentoring and upskilling teammates in a supportive, collaborative environment.

  • Comfort working across teams, communicating complex ideas to both technical and non-technical audiences.

What you get:

  • Salary up to £100k
  • Hybrid working
  • 25 days holiday plus bank holidays
  • Great working envrionment
  • And more!

Our client has a 2 stage interview process and for the right candidate, they will interview early next week!

If you're interested in this role, or know someone who would be, then please get in touch to a.methula@ ioassociates.co. uk

Seniority level

  • Seniority levelNot Applicable

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesInvestment Management

Referrals increase your chances of interviewing at iO Associates - UK/EU by 2x

Get notified about new Senior Data Engineer jobs in London, England, United Kingdom.

Surrey, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

Senior Data Engineer | High Performing Systematic Hedge FundData Architect - Data Modelling - Dimensional - Relational - Data Vault

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 3 days ago

City Of London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

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

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 months ago

Senior Software Engineer, Robotics & Microscope Control

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

Senior Software Engineer/SRE - Managed Systems Engineering

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 weeks ago

Senior AI/ML Engineer (Data Science & Software Focus)

London, England, United Kingdom 2 weeks ago

City Of London, England, United Kingdom 1 week ago

Hammersmith, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

City Of London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

Data Architect with Snowflake & Azure (Data Architect I)

London, England, United Kingdom 1 day ago

Data & AI Cloud Architect, AWS Professional Services

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

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.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 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.