At a Glance
- Tasks: Own and enhance a platform transforming media data into analysis-ready datasets.
- Company: Join a global media agency with a focus on innovation and technology.
- Benefits: Competitive salary, career progression, and the chance to work with cutting-edge tech.
- Other info: Dynamic team environment with opportunities for mentorship and growth.
- Why this job: Tackle complex challenges and make a real impact in the media industry.
- Qualifications: Experience in media data, dbt, Python, SQL, and cloud technologies.
The predicted salary is between 63000 - 77000 £ per year.
- Senior Data Engineer | Global Media Agency Group
- 3 days per week in London office
A global media agency group is hiring a Senior Data Engineer to join its high-profile Data & Technology team.
You’ll own and extend a config-driven platform that turns paid media data from 26+ ad platforms into trusted, analysis-ready datasets.
Media industry experience is essential — along with strong hands‑on skills in dbt, Python, SQL, GCP/Big Query and Terraform.
This is a chance to take real ownership, tackle complex engineering challenges and help shape how the agency delivers data at scale — with excellent scope for career progression.
What you’ll be doing
- Owning end-to-end ELT pipelines, from Cloud Function ingestion through dbt transformation to Big Query.
- Building reusable macros, templates and configurations that scale across platforms and clients.
- Developing Python tooling to automate client onboarding and pipeline execution.
- Improving cloud infrastructure, reliability and data quality.
- Mentoring data engineers and driving best practice in testing, code reviews and documentation.
- Working with analysts, data scientists and BI teams to turn well-modelled data into business value.
The essential skills and tools
- Media experience: experience working with digital or paid media data and an understanding of advertising platforms.
- dbt: macros, Jinja templating, incremental models, seeds, testing and packages.
- Python 3.11+: building CLI tools, data processing and automation.
- SQL: strong querying and transformation skills, ideally using Big Query.
- Google Cloud Platform: Big Query, Cloud Run, Cloud Functions, Cloud Storage, Pub/Sub and Cloud Scheduler.
- Terraform: provisioning and managing cloud infrastructure as code.
- Data modelling: star schemas, dimension/fact architecture and slowly changing dimensions.
- Git and CI/CD: branching, pull requests and automated delivery using Cloud Build or similar.
- Communication: translating business requirements into clear technical specifications.
Useful extras that will help you stand out
- Docker and containerised workloads, including Cloud Run Jobs.
- Click, Pydantic and YAML-based configuration.
- Multi-client mono-repo experience.
- Azure Blob, AWS S3 and SFTP integrations.
- pytest, Mk Docs and modern Python tooling such as Poetry, ruff, mypy and pre-commit.
- Databricks and dbt-databricks.
Why make the move?
You’ll join an established platform with meaningful engineering challenges, global reach and room to make your mark.
Bring your ideas, take ownership and help a talented team build smarter, more scalable ways to work with media data.
Data Engineer - Senior Manager in London employer: Silver Drum
Silver Drum provides a collaborative work culture that emphasizes professional development and innovation in analytics. Employees benefit from a hybrid working model and the chance to work on impactful projects with major clients. The company values data-driven decision-making and offers opportunities to enhance technical skills.
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We think this is how you could land Data Engineer - Senior Manager in London
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We think you need these skills to ace Data Engineer - Senior Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Silver Drum, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Silver Drum. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Silver Drum
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Silver Drum!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
