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

Nominate & Attend

Data Analytics Engineer (TOP FINTECH!)

Robert Half
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer Data Science/Java/Python/Unix

Data Science Engineer

Senior Data Scientist (Engineering Technologies)

Senior AI Engineer

Senior Data Scientist / AI Engineer

Senior Data Scientist / AI Engineer


Data Analytics Engineer(TOP FINTECH!)

Looking for a challenging role in a super-fast Fintech?

Do you have strong Python Skills? Are you looking to work in a cutting-edge technology team?

Do you want to work for a TOP TEAM? Are you interested in Blockchain Innovations?


Are you a fantastic communicator?Do you want your voice heard and your actions to count? THEN APPLY NOW!!!

This is an outstanding opening to join a very small but growing team. You will be working in a BRAND-NEW Data and Analytics Team. They do have a global team to support you but if you want a real challenge and want to drive innovation then this is the place to join!The role is designed to be a career-defining opportunity for a data enthusiast who is eager to explore the depths of analytics engineering and take ownership of projects that push the boundaries of what our data can achieve.

Role Vision and Culture

As a Data Analytics Engineer, you'll play a crucial role in managing and enhancing our Insight Environment. Your primary responsibility will be to oversee the events and ads data, ensuring its quality and readiness for analytical consumption. You will be at the helm of orchestrating the Insight Environment, managing data pipelines, and operationalizing machine learning models to support strategic decision-making. Your expertise will be instrumental in maintaining the integrity and efficiency of our data processes, making you a key player in driving the analytical capabilities of the company forward. You will be working in a fun and business focused role.

TOP SKILLS: YOU MUST HAVE STRONG Python Experience. We are open to looking at a Python Developer who wants to focus on Data rather than pure development.

Why you'll love this role:

In this role, you'll be at the forefront of data technology, working with an advanced modern data stack that includes industry-leading tools such as dbt, Databricks, BigQuery, and Prefect. You'll not only apply these powerful tools to propel our data infrastructure forward but also continuously learn and master them. Our team thrives on innovation and efficiency, so you'll have the chance to contribute to and shape our evolving data ecosystem.

Key Responsibilities

Data Ownership:Take charge of events and ads data within the Insight Environment, ensuring high-quality data governance and stewardship.Data Preparation:Rigorously prepare data for aggregation, establishing a reliable foundation for analytics and reporting via DBT, BigQuery and Power BI.Machine Learning Operationalization:Productionize machine learning models in Databricks, enabling scalable and efficient deployment of data science solutions.Insight Environment Orchestration:Own the orchestration of the Insight Environment (Prefect), ensuring seamless data workflows and integration of analytical tools.Data Pipeline Management:Manage RETL (Reverse ETL) processes within Rudderstack to optimize the flow and utility of data across systems.

Qualifications

You will have/be:

A strong background in a data or analytics engineering role, underpinned by a solid command of advanced Python and SQL for sophisticated data manipulation and analysis. Solid understanding of PySpark or similar distributed computing systems. A degree in computer or data science, ideally at a postgraduate level. A good understanding of the principles and components involved in the product ionisation of machine learning models. Demonstrated expertise in data preparation, ensuring that data is accurate and primed for use across the business. Skilled in data system orchestration, with the ability to manage workflows and processes to support a robust data environment. Knowledgeable in Reverse ETL processes, and able to leverage your technical abilities to streamline and enhance data operations.

Benefits

40 Days of Holiday, including Bank Holidays which you can take flexibly when it works for you. World class private health insurance with dental coverage. Significant "Flexible Benefits" budget to spend on the things that matter the most to you. Employee Assistance Program Life Insurance Critical Illness Insurance Upto 20% Bonus

Central London Location: 3 days in the office and 2 days at home. Hybrid working and more flexible depending on projects and work schedules.

3 stage process and quick turnaround. APPLY NOW!!

Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training.

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.

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

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.