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For Companies At a Glance
- Tasks: Design and deliver scalable data solutions that transform raw data into actionable insights.
- Company: Join Apadmi, a forward-thinking tech company focused on data-driven innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on agile methodologies and continuous improvement.
- Why this job: Make a real impact by shaping the future of data engineering in a dynamic environment.
- Qualifications: Strong experience with cloud platforms and data pipeline tools; excellent communication skills.
The predicted salary is between 60000 - 80000 £ per year.
We’re looking for an experienced Data Engineer to join Apadmi and help our clients unlock value from their data through scalable, insight driven platforms. You’ll work with multi disciplinary teams to design and deliver data solutions that power insight, marketing activation and product experiences across mobile and web. This is a role for someone technically strong, commercially aware and ready to step in as an ambassador for Apadmi, helping shape and grow our Data Engineering capability.
As a Data Engineer, you’ll:
- Design and deliver scalable data pipelines and architectures that transform raw data into actionable insight and activation across client ecosystems.
- Collaborate with Product, Marketing, Engineering and Data teams to ensure data is accurate, accessible and driving measurable outcomes.
- Help shape Apadmi’s growing data engineering capability in a fast paced, innovative environment.
What You’ll Be Working On
In this role, you’ll design and build end-to-end data solutions across multiple clients and industries. You’ll develop robust pipelines that power insight, reporting and real time activation, enabling everything from dashboards to personalised customer experiences. You’ll also play a key role in defining best practices, supporting new business opportunities and laying the foundations for Apadmi’s Data Engineering function.
- Design, build and maintain scalable data pipelines across AWS, Azure and GCP.
- Develop and optimise data models to support BI tools such as Power BI, Tableau and Looker.
- Enable marketing and audience activation through CDPs and direct integrations with paid media platforms.
- Integrate data pipelines with web and app ecosystems, including analytics platforms and event tracking frameworks.
- Support real time and batch data processing for insight and activation use cases.
- Ensure data quality, governance and compliance, including GDPR considerations.
- Collaborate with cross functional teams to translate business requirements into technical solutions.
- Contribute to defining data architecture standards and best practices across the organisation.
- Support new business opportunities with data engineering expertise and solution design.
- Participate in agile delivery processes, ideally within SCRUM frameworks.
What You’ll Bring To The Team
You’ll be technically strong, solution oriented and comfortable working across the full data lifecycle, from ingestion and transformation through to insight and activation. You’ll have experience working in fast paced environments, ideally within an agency or consultancy, and be confident communicating complex technical concepts to a range of stakeholders. You’re proactive, adaptable and excited by the opportunity to help build and shape a growing capability.
- Strong experience across cloud platforms, including AWS, Azure and GCP.
- GCP Professional Certification (e.g. Professional Data Engineer or Cloud Architect).
- Proven experience building and maintaining production grade data pipelines using tools such as DBT, Airflow or Databricks.
- Proficient in orchestrating cloud environments using Infrastructure as Code (IaC) tools like Terraform.
- Strong SQL and experience with Python or similar programming languages.
- Experience working with BI tools such as Power BI, Tableau or Looker.
- Understanding of marketing and data activation ecosystems, including CDPs, CXPs, paid media integrations, etc.
- Experience integrating data across web and app environments.
- Knowledge of data governance, security and compliance best practices.
- Strong stakeholder management and communication skills.
- Agile experience, ideally SCRUM.
- Proactive, flexible and adaptable approach to work.
- Commitment to delivering high quality, scalable solutions for both users and clients.
Predominantly office based, with ability to collaborate in person and virtually.
Senior Data Engineer employer: Apadmi
Contact Detail:
Apadmi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Apadmi. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your past projects and how you’ve tackled challenges in data engineering. Real-life examples can really make you stand out.
✨Be Ready for Technical Challenges
Brush up on your technical skills and be prepared for some hands-on tests or coding challenges during interviews. We want to see how you think and solve problems, so practice makes perfect!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It shows you're genuinely interested in joining Apadmi and helps us keep track of your application. Plus, it’s super easy!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with cloud platforms like AWS, Azure, and GCP, and don’t forget to mention any relevant certifications!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re the perfect fit for Apadmi. Share specific examples of how you've designed and delivered data solutions in the past, and how you can contribute to our growing Data Engineering capability.
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include your experience with tools like DBT, Airflow, or Databricks, and any programming languages you’re proficient in, such as SQL or Python. This is your chance to shine!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Apadmi
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like AWS, Azure, GCP, and DBT. Brush up on your SQL and Python skills, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples of how you've successfully collaborated with product, marketing, and engineering teams. Highlight your communication skills and how you’ve translated complex technical concepts for non-technical stakeholders.
✨Demonstrate Your Problem-Solving Ability
Be ready to discuss specific challenges you've faced in data engineering and how you overcame them. Think about times when you had to design scalable data pipelines or ensure data quality and compliance, and explain your thought process.
✨Understand the Business Impact
Research Apadmi and understand their business model and clients. Be prepared to discuss how your work as a Data Engineer can drive measurable outcomes and support marketing activation, showing that you’re not just technically strong but also commercially aware.