At a Glance
- Tasks: Design and maintain scalable data pipelines using cutting-edge technologies like Apache Spark and Databricks.
- Company: Join Totalmobile, a collaborative tech company that values diversity and innovation.
- Benefits: Enjoy a competitive salary, great benefits, and the chance to shape our data platform.
- Other info: Be part of an inclusive culture that celebrates diverse backgrounds and perspectives.
- Why this job: Make a real impact in a hands-on role with high ownership and autonomy.
- Qualifications: Experience in data engineering, strong Python skills, and familiarity with cloud technologies.
The predicted salary is between 50000 - 65000 £ per year.
We are looking for a versatile and pragmatic Platform Data Engineer to join our team. This is a hands-on role suited to someone who thrives across the full data stack, from ingestion and transformation through to serving reliable, well-structured data to consumers. You will be comfortable working across a range of technologies and environments, bringing both engineering rigour and a data-first mindset to everything you build. You will work closely with data architects, analysts, and product teams to design and deliver scalable data pipelines, implement robust storage patterns, and help shape our data platform strategy, primarily on Azure, with exposure to wider cloud environments.
Key Technologies
- Python
- Azure
- Databricks
- Apache Spark
- Delta Tables
- Parquet
- Unity Catalogue
Desirable
- C#
- DuckDB
- AWS
Key Responsibilities
- Design, build, and maintain scalable data pipelines using Apache Spark and Databricks, with a focus on reliability and performance.
- Work with structured and semi-structured data in Parquet and Delta Table formats, applying appropriate partitioning and optimisation strategies.
- Manage and evolve data assets within the Unity Catalogue, maintaining clear governance, lineage, and access controls.
- Collaborate with architects and engineers to define and uphold data modelling and ingestion best practices.
- Write clean, well-tested Python code; this is a core requirement of the role.
- Troubleshoot and resolve data quality, pipeline, and performance issues across the data platform.
- Contribute to infrastructure-as-code, CI/CD, and DevOps practices within an Azure-first environment.
- Support the wider engineering team as needed; this role requires genuine flexibility across the stack.
Required Skills & Experience
- Data Engineering: Solid, demonstrable experience in data engineering: pipeline design, data modelling, and working at scale.
- Strong understanding of columnar storage formats, particularly Parquet, and experience with Delta Lake / Delta Tables.
- Hands-on experience with Apache Spark, including DataFrame APIs, optimisation, and debugging.
- Experience with Databricks, including notebook development, job orchestration, and cluster management.
- Familiarity with Unity Catalogue or similar data governance and cataloguing tooling.
Programming
- Highly proficient in Python (non-negotiable). You should be comfortable with idiomatic Python, testing, packaging, and working in collaborative codebases.
- Comfortable reading and working across multiple technology stacks; you do not need to be an expert in everything, but you should be adaptable.
Cloud & Infrastructure
- Practical Azure experience, ideally including Azure Data Factory, Azure Data Lake Storage, Synapse Analytics, or similar services.
- Understanding of cloud-native design principles: scalability, cost-awareness, and security.
Engineering Practices
- Experience working in Agile teams with version control (Git), code review, and CI/CD pipelines.
- Good written and verbal communication, with the ability to articulate technical decisions to both technical and non-technical stakeholders.
Nice to Have
- Experience with C# or .NET, useful for integrations with existing backend services.
- Familiarity with DuckDB for lightweight, local analytical workloads or prototyping.
- AWS experience, useful for cross-cloud projects and broadening platform perspective.
- Experience with streaming data platforms such as Apache Kafka or Azure Event Hubs.
- Exposure to dbt, Great Expectations, or similar data transformation and quality tooling.
What We Offer
- A collaborative, engineering-led culture with high ownership and autonomy.
- Opportunity to help shape the data platform from the ground up.
- Competitive salary and benefits package.
Here at Totalmobile, we want our employees to feel valued, appreciated, and free to be who they are at work. We are committed to an inclusive workforce that fully represents many different cultures, backgrounds and viewpoints. We are dedicated to supporting inclusion and diversity at Totalmobile. We actively celebrate colleagues’ different abilities, sexual orientation, ethnicity, faith, and gender. Everyone is welcome and supported in their development at all stages in their journey with us.
Platform Data Engineer employer: TotalMobile
At Totalmobile, we pride ourselves on fostering a collaborative and engineering-led culture that empowers our employees to take ownership of their work. As a Platform Data Engineer, you will have the unique opportunity to shape our data platform from the ground up while enjoying a competitive salary and benefits package. We are committed to creating an inclusive environment where diverse perspectives are celebrated, ensuring that every team member feels valued and supported in their professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like TotalMobile!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Platform Data Engineer at TotalMobile.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like TotalMobile.
✨Apply Directly through Our Website
When you find a suitable opening like Platform Data Engineer at TotalMobile, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Platform 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at TotalMobile, 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 TotalMobile. 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 TotalMobile
✨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!
✨Showcase Your Projects
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 TotalMobile!
✨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.
