Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Power BI Developer / Data Engineer

City of London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Power BI Developer Data Engineer

Power BI Developer / Data Analyst

Strategic Insight Data Science Lead

Data Engineer - AM

Data Engineer - AM

Fabric Data Engineer

Power BI Developer / Data Engineer

We are hiring for an is an ambitious, multi-award-winning financial services investment company located in London City who are investing in their BI Data team.

We're rapidly growing, and so we're hiring talented people who are purpose driven and want to use and develop their skills to deliver an awesome experience to our customers.

What your job will be

The Data and Analytics team is playing an important role in growth ambitions as it moves to scale-up.

Your expertise will help us to build a secure and scalable data infrastructure to help support these ambitions.

You will be developing efficient data pipelines for acquiring, processing, cleansing, and transforming diverse data sources for integration into our data platform.

You will work closely with data scientists, analysts and business stakeholders to understand data requirements and translate them into scalable technical solutions.

Our data is in good shape. But you'll support on a programme of work that brings all our data into one place, meaning less time is spent by analysts on data transformation and we can move more quickly from idea to insight. It's a great chance to gain experience in the latest cutting edge Lakehouse technology and would suit someone looking to develop their experience in Data Engineering under the guidance of the Senior Data Engineer.

We're a small team so you'll need to be hands on and prepared to get involved in a wide-range of activities.

Role details

Title- Microsoft Power BI Platform Engineer
Technology skills required- Microsoft Power platform stack, POWER BI , and POWER BI DAX
Business FX Financial Technology
Permanent role- salary £50,000- £75,000 plus bonus at around 20%
Location: London and home working hybrid This role will be focused on Microsoft Power platform stack and POWER BI , and POWER BI DAX with great data investment projects

What we're looking for

We don't need you to tick all these boxes (in fact we'd encourage you to apply even if you don't!), but this gives you an idea of what we are looking for:

2+ years as a Data Engineer or Power BI developer, preferably in a start-up or fast-paced environment.
Experience in the Microsoft BI Stack:
Power BI (including DAX, Power Query, Dataflows, Premium features)
The ability to assess the effectiveness and accuracy of new data sources and data gathering techniques
High level of verbal, written and presentation skills

What we give you in return

Competitive salary of £45,000- £70,000 plus bonus
24 days holiday a year - plus bank holidays (you'll earn an extra day holiday for each full year you're with us, up to 28 days)
Hybrid/remote working options
Flexible working hours in line with business needs

And we have plenty of perks too!

Annual bonus between 0-20% of your annual salary which is linked to both the company and individual performance
Private Medical Insurance
Death in Service Cover (X3 your annual salary)
Income Protection Insurance
Company Pension Plan
Offices with office gym
A collaboration space and games room

We're a responsible company and are constantly working to improve our culture, ethics, impact on the environment, and our contribution to charitable causes.

Please do send through a CV through for consideration- good luck!

To find out more about Huxley, please visit

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

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 Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.