At a Glance
- Tasks: Design and build a cutting-edge data platform for multiple teams.
- Company: APS Group, a forward-thinking data-driven organisation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
- Why this job: Shape the future of technology with impactful data solutions.
- Qualifications: Experience in data platforms, Python, SQL, and cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
At APS Group, Data Platform Engineers build and maintain the foundation of our data-driven organisation. You design, operate, and evolve the shared platform, tooling, and infrastructure that enable secure, scalable, and reliable access to data across the business. You work at the intersection of software engineering, data, and cloud architecture. Together with BI teams, product owners, domain teams, and platform engineers, you create the standards, patterns, and capabilities that allow operational and enrichment data to be turned into structured and trusted assets for reporting, automation, and product development.
Within APS, the Data Platform team plays a central role in the future of our technology landscape. The platform you help shape will support upcoming agentic and AI-driven functionalities by ensuring that data is consistently reliable, well-structured, and accessible across domains. Our approach to data focuses on reliability, transparency, and reuse. We emphasise automation, observability, and continuous improvement in everything we build.
Your work environment: You will be part of the Data Platform Engineering team, working closely with:
- BI and analytics teams that consume and model data
- Domain teams that produce operational data
- Platform Engineering for infrastructure and reliability
- Product Owners to balance business priorities and platform evolution
Within this setup, you contribute to a shared data platform that supports multiple domains and teams. You will build the platform, tooling, and standards that enable others to ingest and consume data efficiently and safely. You take ownership within your scope while actively collaborating across team boundaries. We value clear communication, pragmatic decision-making, and a strong engineering mindset. There is room to experiment with modern tooling, as long as it leads to measurable improvements in reliability, scalability, or developer experience.
What you will do:
- Design, build, and evolve the Data Platform used by multiple teams and domains
- Create reusable patterns, tooling, and standards for building data pipelines and data products
- Own and improve the reliability, scalability, and observability of the data platform
- Improve self-service capabilities so teams can onboard, ingest, transform, and publish data independently
- Automate platform workflows including provisioning, testing, deployment, and monitoring
- Collaborate with domain and analytics teams to remove friction and improve the developer experience
- Design and evolve data models that support analytics and operational use cases
- Collaborate with stakeholders to ensure data is usable, reliable, and well understood
Skills and experience:
Technical skills: We are looking for a candidate who displays many of the following skills, but we understand candidates are stronger in some areas than others and no one would be expected to meet all criteria:
- Experience designing and operating data platforms or shared data infrastructure in production environments
- Strong proficiency in Python and SQL
- Experience with cloud platforms, preferably AWS (e.g. S3, Glue, Redshift, Lambda)
- Solid understanding of data warehousing concepts such as data lakes, dimensional modelling, and event-driven architectures
- Experience with ELT/ETL tooling and orchestration frameworks
- Familiarity with data quality, monitoring, and observability practices
- Experience with infrastructure-as-code, automation, and CI/CD practices
- Experience with version control (Git) and collaborative workflows
- Working knowledge of database systems (PostgreSQL, MS SQL, or similar)
- You think in terms of platforms, reuse, and standardisation rather than one-off solutions
- You take ownership of your work and aim for reliable, maintainable solutions
- You are comfortable troubleshooting data issues and improving existing pipelines
- You balance speed with quality and understand the impact of your work on downstream users
- You enjoy reducing complexity for others through good abstractions and tooling
Collaboration and communication: You communicate clearly about progress, trade-offs, and issues. You work effectively across teams and disciplines. You understand how data is used and design platform capabilities accordingly. You contribute to documentation, standards, and knowledge sharing.
What we look for:
- A few years of experience in platform engineering, data engineering or a similar role
- Experience contributing to shared infrastructure or internal platforms
- A pragmatic and structured way of working
- Curiosity to improve the platform and explore better approaches
- A team-oriented mindset with a focus on shared outcomes
We're an equal opportunities employer.
Data Platform Engineer in Cheadle Hulme employer: Cloud Online Recruitment
At APS Group, we pride ourselves on being an exceptional employer, particularly for Data Platform Engineers. Our collaborative work culture fosters innovation and continuous improvement, allowing you to experiment with modern tooling while contributing to a shared data platform that supports multiple teams. With a strong emphasis on employee growth, we offer opportunities for professional development in a dynamic environment that values clear communication and pragmatic decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer in Cheadle Hulme
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We think you need these skills to ace Data Platform Engineer in Cheadle Hulme
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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