Senior Data Engineer - Media Agency

Silverdrum
London
5 days ago
Create job alert

Senior Data Engineerrole at a fast-growing media agency.



Salary to £70,000 + benefits.



You must haveprevious experience within a media related businessto be considered for this role.

We're looking for someone that is skilled in both SQL and Python (with PySpark/Spark as bonus) and able to handle complicated transformations.



The agency

This media agency is rewriting the rules of media. Recently named#1 for building the most ethnically diverse teamin the industry and recognized as theUK’s fastest-growing media agencyfor two years running, they’re a force to be reckoned with.



With achallenger mindset, they empower brands infashion, technology, and lifestyleto disrupt category norms and shape culture.



Here, you’ll find theagility of a start-uppaired with the resources of a global network. This is an agency where individuality and inclusion are championed, and bold ideas thrive.



The role

Senior Data Engineer

Shape the Future With Data

As aSenior Data Engineer, you’ll lead the way in transforming how data drives decision-making and innovation. You’ll design cutting-edge pipelines, build automation frameworks, and enable seamless collaboration between analysts and data scientists.



This is your chance to work across high-profile projects, from scaling infrastructure to developing advanced analytics solutions, while mentoring a talented team of junior engineers. If you’re passionate about innovation, problem-solving, and making an impact, this is the role for you.



What You’ll Be Doing

  • Own the Data Pipeline: Build and optimize scalable pipelines inDatabricksandMySQL, leveragingPythonandPySparkfor performance.
  • Champion Automation: Develop reusable Python packages, integrate machine learning models, and streamline workflows for maximum efficiency.
  • Lead with Innovation: Spearhead cloud migration projects and implement cutting-edge analytics solutions.
  • Mentor and Inspire: Guide junior engineers, setting the standard for technical excellence and team collaboration.
  • Collaborate Across Teams: Act as the bridge between internal teams and clients, ensuring clarity and alignment on every project.



What You’ll Bring

  • Technical Expertise: Proficiency inPython,PySpark,Databricks, and SQL, with hands-on experience in CI/CD and Git workflows. Working with Panda's a big plus.
  • Problem-Solving Skills: A track record of developing automation-first, scalable solutions in data-rich environments.
  • Cloud Migration Knowledge: Proven success leading large-scale migration projects, particularly within cloud ecosystems.
  • AdTech Knowledge: Familiarity with media adtech platforms and measurement frameworks is a plus.
  • Leadership Skills: Strong communicator with experience mentoring teams and managing complex stakeholder relationships.



What’s In It for You?

This media agency is committed to providing a supportive and inspiring work environment where your talent is recognized and rewarded. Here’s what they offer:

  • Flexible Leave: 25+ days annual leave, with extra time off between Christmas and New Year.
  • Work-Life Balance: Early-finish Fridays, core hours, and hybrid working.
  • Perks Galore: Free breakfast, lunch, and retail discounts.
  • Health & Wellbeing: Private medical insurance, wellbeing programs, and gym discounts.
  • Career Growth: Generous parental leave, financial education, and personal development opportunities.

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Databricks

Get the latest insights and jobs direct. Sign up for our newsletter.

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 Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.