National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

London
2 weeks ago
Create job alert

Data Engineer

Bond street

50-70k

ROLE OBJECTIVE

This role requires a strong understanding of data architecture, data modelling, and performance optimisation. The role will contribute significantly to the company's success.

There are opportunities for professional development, such as training programs, certifications, and career advancement paths.

KEY RESPONSIBILITIES

Design, develop, and maintain scalable data pipelines
SQL, Azure ADF, Azure Functions, DBT
Collaborate with analysts and stakeholders to understand their data needs, scoping and implementing solutions
Optimising and cleaning of data warehouse, cleaning existing codebase and creating documentation.
Monitor and troubleshoot data pipeline issues
Provide technical support and guidance to junior team members
Provide ongoing support for business applications.
Provide help with data analysis using SQL, Qube, Tableau, Hubspot and excel.
Perform systems analysis, business process analysis and design.
Project Management, developing project plans, and monitoring performance.
Monitoring deliverables and ensuring timely completion of projects.
Research and other ad-hoc tasks as needed.
Stakeholder Management

This is not an exhaustive list of the duties that may be required of the post holder. Duties may be changed, after discussion, to suit the operational requirements of Olympus Tech.

KNOWLEDGE, SKILLS AND EXPERIENCE

Technical

Educated to Degree Level, or equivalent, in Computer Science, Information Technology or related discipline.
Proven experience in software support and technical/business/data analysis.
Able to communicate effectively and clearly in writing and verbally, including drafting correspondence and documents and good presentation skills.
Experience with business intelligence and reporting tools like Tableau, PowerBI or similar.
Experience with version control systems (e.g. Git)
Ability to work in an Agile environment
Experience with Microsoft SQL.
Experience with ETL Tools and Data Migration.
Experience with Data Analysis, Data mapping and UML.
Experience with programming languages (Python, Ruby, C++, PHP, etc).
The ability to work with large datasets across multiple platforms with confidence.
A systematic and analytical approach to problem solving with the ability to communicate technical information to both technical and non-technical audiences.
Excellent skills with Microsoft Excel.

Essential

Self-motivated, with high energy and enthusiasm.
Strict attention to detail.
Highly intuitive and tech savvy.
Ability to work in a varied and demanding role with appropriate supervision.
Ability to work to strict deadlines and be organised and efficient.
Pragmatic, creative and strategic approach to problem solving, with emphasis on fast and practical solutions.
Demonstrable experience of taking responsibility for own actions and development opportunities, maintaining high levels of integrity.
Strong leadership and teamwork
Experience in working in an environment that is dynamic and fast paced.
Is personable and can easily building relationships to create consensus with internal and external parties (procurement, legal team, infrastructure, sales, back office, fund, etc).
Ability to work effectively with senior management and cross-functional teams.
Commitment to equality, diversity, and mutual respect; accepting differences and treating everyone fairly.
The ability to think outside of the immediate task and constantly look at ways of improving processes.

Desirable

Experience with Snowflake, Azure, AWS
Experience with GA4, Search Console and Meta data sets
Experience with property management software MRI Qube, Yardi or similar.
Experience with complex databases
Experience in system support, monitoring & troubleshooting.
Experience of working in environments with high information security standards to meet needs of ISO27001, SOC2 and GDPR etc
Experience with AI and/or Machine Learning
Project planning and management experience.
Experience with finance systems i.e. Sage, Qube, IRIS or similar.
Experience with CRMs such as HubSpot or similar.

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

National AI Awards 2025

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 Present Data Engineering Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

As the demand for data engineers grows, so do the expectations. It’s not enough to build robust pipelines or optimise ETL jobs—UK employers now look for candidates who can also communicate clearly with stakeholders, especially those without technical backgrounds. Whether you're applying for a data engineering role in finance, healthcare, retail, or tech, your ability to explain complex systems in plain English is becoming one of the most valued soft skills in interviews and in the workplace. This guide will help you master public speaking for data engineering roles: from structuring your presentation and designing effective visuals, to simplifying terminology, storytelling and confidently answering stakeholder questions.

Data Engineering Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data engineering teams. Driven by the UK’s Digital Economy Strategy, the AI & GenAI boom, cheaper cloud storage and a squeeze on legacy batch pipelines, data engineering hiring is in overdrive for 2025. Employers from hyperscale tech firms to NHS trusts want lake‑house architects, streaming‑platform specialists, ETL developers, MLOps pipeline gurus, analytics engineers & FinOps‑savvy cost guardians—right now. Below you’ll find 50 organisations that posted UK‑based data engineering vacancies or announced head‑count growth in the last eight weeks. They’re grouped into five easy‑scan categories. For each company you’ll see its main UK hub, an example live or recent vacancy, and a quick reason it’s worth your time. Search any employer on DataEngineeringJobs.co.uk to view current ads, or set a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Engineering Career with Returnships, Flexible & Hybrid Roles

Re-entering the workforce after a career break can feel like stepping into a rapidly shifting data pipeline—especially in a specialist field like data engineering. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data engineering sector now offers a variety of return-to-work pathways. From structured returnships to flexible, hybrid and full-time roles, these programmes recognise the value of your transferable skills and life experience. With tailored mentorship, targeted upskilling and supportive networks, you can confidently relaunch your data engineering career. In this guide, you’ll learn how to: Understand the current demand for data engineers in the UK Leverage your organisational, communication and problem-solving skills in data contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data engineering Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your relaunch with caring responsibilities Master applications, interviews and networking specific to data engineering Draw inspiration from real returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data pipeline developer, ETL specialist, big-data architect or analytics engineer, this article maps out the steps and resources you need to reignite your data engineering career.