At a Glance
- Tasks: Build and maintain scalable marketing data pipelines and integrate data across platforms.
- Company: Globally recognised organisation transforming its data and digital capabilities.
- Benefits: Up to £72,000 salary, 10% bonus, private healthcare, and hybrid working.
- Other info: Collaborative environment with opportunities for innovation and career growth.
- Why this job: Join at the start of an exciting journey and shape marketing data strategies.
- Qualifications: Experience in data engineering, strong SQL skills, and knowledge of marketing data.
The predicted salary is between 60000 - 80000 £ per year.
West London (Hybrid – 3 days per week onsite)
Salary: Up to £72,000 + 10% Bonus + Private Healthcare
Method Resourcing are partnering with a globally recognised organisation that is investing heavily in its data and digital capabilities as part of a wider transformation programme. Operating across multiple international markets, the business is modernising how it captures, connects and utilises marketing data to support better commercial decision-making.
As part of this journey, they're creating a brand-new position within the team to build the foundations of their marketing data platform. This is an opportunity to join at the beginning of the journey, shape the technical direction, and have a genuine impact on how marketing performance is measured across the business.
This is a hands-on engineering role focused on building the data infrastructure that powers marketing insights—not producing reports or dashboards.
You'll be responsible for:
- Connecting data across marketing, CRM and enterprise platforms.
- Creating scalable data pipelines.
- Developing a trusted data environment that enables better attribution, campaign measurement and future marketing analytics initiatives.
Working closely with stakeholders across Marketing, Revenue, Finance and Technology, you'll play a key role in designing the architecture that supports data-driven decision making across the organisation.
Key responsibilities include:
- Designing, building and maintaining scalable marketing data pipelines across multiple platforms and data sources.
- Integrating data from marketing, CRM and enterprise systems into a centralised analytics environment.
- Developing and optimising data models to support trusted, high-quality marketing reporting and analysis.
- Building integrations between platforms including Salesforce, Databricks, GA4 and other marketing technologies.
- Ensuring data quality, consistency and governance through validation, monitoring and documentation.
- Supporting digital tracking and data collection using Google Tag Manager and Google Analytics 4.
- Collaborating with cross-functional teams to improve data accessibility and enable better marketing decision making.
- Providing technical expertise on marketing data architecture, integrations and platform capabilities.
- Contributing to future initiatives around attribution, experimentation and marketing measurement.
Experience required:
- Experience in a Data Engineer, Analytics Engineer, Marketing Data Engineer, MarTech Engineer or similar role.
- Strong SQL skills with experience designing and maintaining data pipelines.
- Hands-on experience working with Databricks or similar modern cloud data platforms.
- Experience integrating data across multiple business systems, including CRM and marketing platforms.
- Knowledge of Salesforce data structures and integrations.
- Experience with Python for data engineering, automation or data processing.
- Understanding of digital marketing data, including GA4 and Google Tag Manager.
- Experience building scalable data models and ensuring data quality across complex environments.
- Marketing attribution or Marketing Mix Modelling (MMM).
- Google Marketing Platform (CM360, DV360, SA360).
- Server-side Google Tag Manager.
- A/B testing, experimentation or performance marketing analytics.
Tech Data Engineer employer: Method-Resourcing
Join a globally recognised organisation in West London that is at the forefront of transforming its data and digital capabilities. As a Tech Data Engineer, you'll be part of a dynamic team that values innovation and collaboration, offering a hybrid work model that promotes work-life balance. With competitive benefits including a generous salary, bonus, and private healthcare, this role provides an exceptional opportunity for professional growth and the chance to make a significant impact on marketing performance across the business.
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We think this is how you could land Tech Data Engineer
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We think you need these skills to ace Tech Data Engineer
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!
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Craft a Tailored Cover Letter:For a full-time role at Method-Resourcing, 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 Method-Resourcing. 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 Method-Resourcing
✨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!
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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 Method-Resourcing!
✨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.
