At a Glance
- Tasks: Build and optimise data pipelines using Snowflake, Matillion, and dbt for innovative analytics.
- Company: Join a leading sustainable automotive manufacturer with a global presence.
- Benefits: Salary up to £70,000, hybrid work, and access to a global learning platform.
- Other info: Diverse culture focused on community and sustainability values.
- Why this job: Be part of a collaborative team driving AI and data solutions in a dynamic environment.
- Qualifications: 3-5 years in data engineering with strong SQL and cloud platform skills.
The predicted salary is between 70000 - 70000 £ per year.
We're recruiting on behalf of one of the world's leading sustainable automotive manufacturers - a company with over 50,000 employees globally, and a name most people in the industry will immediately recognise.
This is a great opportunity for a data engineer who wants to grow into a senior role, working within a collaborative Data, Automation & AI team on modern cloud data warehouse and visualisation solutions.
The RoleYou’ll help build and maintain data pipelines and analytical data assets using Snowflake, Matillion, dbt and related cloud data technologies, supporting analytics, automation and AI use cases across the organisation. You’ll work alongside data specialists, privacy officers, business stakeholders and reporting teams to establish well-structured data warehouse layers, reusable transformation models, and visualisation-ready datasets for tools such as Power BI, Tableau and ThoughtSpot.
Day-to-day you’ll be:- Developing and optimising Snowflake data warehouse solutions
- Building, orchestrating and monitoring Matillion ELT pipelines
- Writing dbt transformation models, tests and documentation
- Working across staging, curated and mart-layer data architecture
- Writing advanced SQL and contributing to dimensional data modelling
- Integrating data from APIs, enterprise platforms and cloud storage into Snowflake-based data products
- Supporting data governance, quality, lineage and audit routines
- Collaborating with cross-functional stakeholders to translate business and reporting requirements into scalable solutions
- Working across multiple initiatives in a matrix organisation, using agile tools and practices
- 3-5+ years' experience in data engineering, data warehousing or analytics
- Hands-on experience with Snowflake, Matillion, dbt or similar cloud data platform tools
- Strong SQL and data modelling skills
- No HR background required - just an openness to learning the domain
- Strong analytical and problem-solving mindset, with the ability to turn business needs into technical solutions
- A self-starter who's energetic, curious and keen to keep learning new tools and technologies
- Comfortable working across cross-functional and matrix teams
- Salary up to £70,000, depending on experience
- Hybrid working, with preferred weekly office presence in Milton Keynes
- Exposure to AI-enabled data products and enterprise-scale data platforms
- Access to a global learning platform to develop your skills and career
- A diverse, inclusive culture with strong community and sustainability values
Senior Data Engineer in Milton Keynes employer: HRIT People
Join a forward-thinking organisation that prioritises innovation and collaboration, offering a fully remote working environment within the UK. With a strong emphasis on continuous learning and professional development, you'll have the autonomy to drive impactful SAP integration projects while being supported by a diverse and inclusive team. This is an excellent opportunity for those looking to grow in their careers while contributing to meaningful transformation initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Milton Keynes
✨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 HRIT People!
✨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 Senior Data Engineer at HRIT People.
✨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 HRIT People.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at HRIT People, 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 Senior Data Engineer in Milton Keynes
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 HRIT People, 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 HRIT People. 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 HRIT People
✨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 HRIT People!
✨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.
