At a Glance
- Tasks: Design and maintain scalable data pipelines while deploying impactful ML models.
- Company: Join dmg media, a leading news publisher with a commitment to storytelling.
- Benefits: Enjoy 25 days holiday, pension plan, discounts, and onsite gym access.
- Other info: Dynamic workplace with a focus on diversity and inclusion.
- Why this job: Make a real impact in data engineering and machine learning at a top media company.
- Qualifications: Bachelor's degree in a relevant field and strong programming skills in Python and SQL.
The predicted salary is between 36000 - 60000 £ per year.
Talent Acquisition @ dmg Media | Sourcing Specialist
Location: dmg media HQ - High Street Kensington, London, W8
Position: Permanent
About the Role
We are seeking a motivated ML Engineer / Data Engineer to join our Data Engineering team and help evolve our data and machine learning platforms.
In this role, you’ll work at the intersection of machine learning and data engineering — designing and maintaining scalable data pipelines, supporting analysts and stakeholders with reliable datasets, and deploying ML models into production at scale. You’ll play a critical role in ensuring both the data foundations and the ML systems are robust, efficient, and impactful. The ideal candidate is pragmatic, collaborative, and passionate about solving complex problems with data and machine learning.
Main Responsibilities
- Collaborate with data analysts to create ML models from prototype to production
- Design, build, and maintain data pipelines and feature engineering workflows
- Deploy, monitor, and optimize ML models and pipelines in production
- Implement MLOps best practices including CI/CD, experiment tracking, and model monitoring
- Support and evolve the current data warehouse and cloud infrastructure
- Ensure data quality, validation, and governance across systems
- Contribute to building data-driven products that combine analytics and ML capabilities
Skills & Expertise
Required
- Bachelor’s degree (Master’s preferred) in Computer Science, Applied Mathematics, Engineering, or related field
- Professional experience in data engineering, ML engineering, or a related field
- Strong programming skills in Python and SQL
- Experience with Google Cloud Platform and/or Azure Cloud Services (DataFactory, Functions, SSIS)
- Hands-on experience with Databricks (GCP or Azure)
- Experience deploying and maintaining ML models (e.g., MLflow, Vertex AI, Azure ML)
Beneficial
- Experience with Spark and other distributed data processing frameworks
- Exposure to MLOps tooling for orchestration, CI/CD, and monitoring
- Experience with Elasticsearch or similar technologies
- Familiarity with digital/web data sources such as Adobe Analytics, GA, or DFP
- Understanding of data science workflows (feature engineering, experimentation, model evaluation)
Package Description
Our benefits package increases the longer you’ve been with us. Here’s what to expect:
- 25 days’ holiday (increasing by 1 per year up to a total of 30)
- Pension plan and life cover
- Discounts on online shopping, dining cards and vouchers, and access to our Employee Assistance Programme
- Onsite gym, subsidised canteen and onsite nurse and GP clinics
Plus much more…
About Us
dmg media maintains an unwavering commitment to uncovering the stories that matter most. Its brands Daily Mail, The Mail on Sunday, Metro, The i Paper, MailOnline, and Mail+ reach more than 9 million people daily in the UK.
Its global newsroom of journalists, formidable story-getting power, and breadth of content formats, delivers highly engaging, trusted content to loyal and new audiences, 24 hours a day, seven days a week.
The Mail brand reaches three in five Brits every month and is officially the best-read, most recognised, most engaged newsbrand in the country. It is the largest news publisher on TikTok with over 28 million total followers and nearly 45 billion views in the past year.
www.dmgmedia.co.uk
Our Commitment
We are committed to increasing diversity and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, or disability.
We are Disability Confident Committed. Please let us know if you require any recruitment documentation in other formats or if you require reasonable adjustments to be made during the recruitment process. Please be assured that any such information will be held separately to your recruitment application and will not be considered as part of the selection process.
Data Engineer in City of London employer: dmg media
At dmg media, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of High Street Kensington, London. Our commitment to employee growth is reflected in our comprehensive benefits package, which includes increasing holiday entitlement, a pension plan, and access to wellness facilities. Join us to be part of a collaborative culture that values diversity and innovation, where your contributions to data engineering and machine learning will have a meaningful impact on millions of readers daily.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in City of London
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We think you need these skills to ace Data Engineer in City of 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!
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How to prepare for a job interview at dmg media
✨Brush Up on Your Statistics
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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
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✨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.
