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For Companies At a Glance
- Tasks: Create data solutions and predictive models to optimise digital marketing for clients.
- Company: Join Havas Media Network, a leading global communications group.
- Benefits: Enjoy competitive salary, training opportunities, and a collaborative work environment.
- Why this job: Make a meaningful impact while working with cutting-edge technology in a dynamic team.
- Qualifications: Proficiency in Python, SQL, and experience with cloud platforms required.
- Other info: Embrace a culture of collaboration and continuous learning at Havas.
The predicted salary is between 36000 - 60000 £ per year.
Office Location: BlokHaus West Park, Ring Rd, Leeds LS16 6QG
Havas Media Network (HMN) employees over 900 people in the UK & Ireland. We are passionate about helping our clients create more Meaningful Brands through the creation and delivery of more valuable experiences. Our Havas mission: To make a meaningful difference to the brands, the businesses and the lives of the people we work with. This role will be part of Havas Market, our performance-focused digital marketing agency.
The Role
In this position, you will play a vital role in delivering a wide variety of projects for our clients and internal teams. You’ll be responsible for creating solutions to a range of problems – from bringing data together from multiple sources into centralised datasets, to building predictive models to drive optimisation of our clients’ digital marketing. We are a small, highly collaborative team, and we value cloud-agnostic technical fundamentals and self-sufficiency above specific platform expertise.
Key Responsibilities
- Translate client briefs and business stakeholder requirements into detailed technical specifications, delivery plans, and accurate time estimates.
- Create clear technical documentation including architecture diagrams, data dictionaries, and implementation guides to enable team knowledge sharing and project handovers.
- Train and mentor junior team members through pair programming, code review feedback, and guided project work on data engineering and ML workflows.
- Expert-level proficiency in Python for building robust APIs, scripting, and maintaining complex data/ML codebases.
- Strong SQL expertise and deep familiarity with data warehousing concepts relevant to tools like BigQuery.
- Practical experience with Docker and a firm grasp of Linux to manage local dev containers, servers, and Cloud Run deployments.
- Advanced Git proficiency and active experience participating in PR reviews to maintain code quality.
- Solid understanding of CI/CD principles and practical experience defining or managing pipelines, preferably using a tool like Azure DevOps.
- Proven ability to quickly read, understand, and apply technical documentation to translate broad business requirements into precise technical specifications.
- Excellent written and verbal communication skills for proactive knowledge sharing, constructive PR feedback, participating in daily standups, and documenting processes.
Beneficial skills and experience to have:
- Hands-on experience with any major cloud ML platform, focusing on MLOps workflow patterns.
- Practical experience with stream or batch processing tools like GCP Dataflow or general orchestrators like Apache Beam.
- Familiarity with Python ML frameworks or data modeling tools like Dataform/dbt.
- Familiarity with the structure and core offerings of GCP or AWS.
Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.
Data Engineer (Data Science) in Leeds employer: Havas Media Group Spain SAU
Contact Detail:
Havas Media Group Spain SAU Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Data Science) in Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees at Havas Media Network on LinkedIn. A friendly message can go a long way in getting insider info and maybe even a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss Python, SQL, and cloud platforms. Practice explaining your past projects and how they relate to the role.
✨Tip Number 3
Show off your collaborative spirit! Be ready to share examples of how you've worked in teams, mentored others, or contributed to knowledge sharing. Havas values teamwork, so let that shine through.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Havas family.
We think you need these skills to ace Data Engineer (Data Science) in Leeds
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with Python, SQL, and any cloud platforms you've worked with. We want to see how your skills align with our needs!
Show Off Your Projects: If you've got any cool projects or contributions to open-source that showcase your data engineering skills, include them! We love seeing practical examples of your work and how you tackle real-world problems.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate good communication skills, so let your writing reflect that!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Havas Media Group Spain SAU
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in building APIs or working with data warehousing concepts. The more specific examples you can provide, the better!
✨Show Off Your Collaboration Skills
Since this role is all about teamwork, think of examples where you've successfully collaborated with others. Whether it's mentoring junior team members or participating in code reviews, be prepared to share how you contribute to a positive team environment.
✨Prepare for Technical Questions
Expect some technical questions that test your understanding of CI/CD principles and cloud platforms. Brush up on your knowledge of tools like Azure DevOps and Docker, and be ready to explain how you've implemented these in your previous roles.
✨Communicate Clearly and Confidently
Excellent communication is key in this role. Practice explaining complex technical concepts in simple terms, as you'll need to translate client briefs into technical specifications. Being clear and concise will show that you can effectively share knowledge within the team.
