Data Analytics Engineer

Holborn
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Senior Data Engineer

Data Engineer

Senior Data Engineer

Senior Data Engineer (Fintech & Payments)

RSMB is looking for an enthusiastic Data Analytics Engineer to join the team based in London (Hybrid – 2 days per week in the office). You will join us on a full-time, permanent basis and in return, you will receive a competitive salary of £50,000 - £65,000 per annum depending on degree of relevant experience.

RSMB is a leading company specialising in media measurement solutions. We work with a wide range of clients delivering both long-term contracts like Barb (UK TV audience measurement) and RAJAR (Radio audience measurement), and ad hoc projects. We are proud that we have been a Barb TV audience measurement contractor since 1989 and a RAJAR contractor since 2007. Our team of around 50 people are based in Central London, and we are currently operating hybrid working: splitting the week between home and office working.

The Data Analytics Engineer role:

RSMB are seeking a technically adept and proactive Data Analytics Engineer to join our Technology Department. Based in Holborn with hybrid working, this is a great opportunity to play a key role in driving data-driven decision-making across our business. You’ll be working with complex datasets to build reporting pipelines, support business intelligence, and help evolve our data architecture. Proficiency in SQL, Python, BI tools, and cloud platforms is essential, along with a collaborative, problem-solving mindset. We offer a generous benefits package and a supportive, inclusive environment within a team of around 50 people passionate about helping clients stay ahead in a rapidly changing media landscape.

Benefits you will receive as our Data Analytics Engineer:

Pension scheme

25 days holiday per annum (rising to 30 days)

Private medical insurance

Season ticket loan

Group life and permanent health insurance.

Key responsibilities as our Data Analytics Engineer will include:

Maintain and enhance analytics and reporting workflows by running production grade code to generate data products, dashboards, and performance metrics used across the business

Collaborate with cross-functional teams on analytics projects, data integration and process automation efforts, ensuring consistency and reliability of data flows between systems

Contribute to the development of scalable data architecture for media analytics, aligned with modern best practices

What we are looking for in our Data Analytics Engineer:

Good background in data analytics, business intelligence, and strategy implementation

Expert in SQL, proficient in Python and BI platforms

Experience with cloud platforms and code version control

Strong aptitude in Agile methodologies and project management

Exceptional communication skills for liaising with both technical and non technical stakeholders

Excellent problem-solving abilities and a proactive approach to innovation

Desirable:

PL/SQL experience

Proficiency in Fortran

Understanding of data warehousing & data modelling concepts.

This role is tailored for an aspiring, pro-active and technically adept professional who is passionate about leveraging data for insightful business decisions. Prior experience in the media industry and audience measurement would be a big plus.

What you’ll get in return as our Data Analytics Engineer:

The chance to shape a growing SaaS product that’s solving real-world data problems

Hybrid working with just 2 days per week in our central London office

Exposure to top-tier clients and cutting-edge work in media, research and analytics

Autonomy, flexibility and the ability to see the direct impact of your work

A supportive and experienced team to work with

Please note: We are not accepting agency applications for this role. Applicants must be eligible to work in the UK.

If you feel you have the skills and experience to become a Data Analytics Engineer in this exciting role, then please click “apply” now – We'd love to hear from you

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.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

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

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.