At a Glance
- Tasks: Design and implement data pipelines, manage data lakes, and drive innovation in intelligent systems.
- Company: Join Nomia, a forward-thinking company prioritising data as a key differentiator.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a culture that promotes inclusivity, innovation, and ethical AI use.
- Why this job: Make a real impact by working on cutting-edge data engineering projects.
- Qualifications: 3+ years in data engineering with expertise in Azure tools and Python.
The predicted salary is between 50000 - 65000 £ per year.
About the Role
As Data Engineer, you will promote data as a key differentiator for Nomia. You will help drive innovation and the building of intelligent systems for internal use, as well as for our customers and suppliers globally. You will be a key member of the team devoted to designing and implementing cutting‑edge Agentic solutions.
Roles & Responsibilities
- Design and implement data pipelines for cleaning and enriching data
- Be responsible for the data lake
- Find and curate third‑party datasets
- Prepare data for use in experiments
- Design and maintain notebooks to measure the quality and completeness of data
- Understand real‑world use cases and translate them into actionable plans
- Conduct experiments to validate design choices or theories
- Create, manage, monitor, and maintain data models
- Design and implement ETL processes
- Document all aspects of your work
- Stay abreast of advancements in data engineering and research new software and techniques
- Participate in code reviews, technical discussions, and cross‑functional meetings
About You
- 3+ years’ experience in data engineering
- Demonstrable experience with Microsoft Azure tools, such as Function Apps and services including Data Factory, Azure Synapse, and Azure Databricks
- Demonstrable experience designing and implementing ETL pipelines
- Proficient in PostgreSQL and T‑SQL
- Proficient in Python, with a strong command of data processing libraries such as Pandas and PySpark
- Proficient in the use of Python notebooks
- Experience with event‑driven architecture
- Familiarity with LLMs and prompt engineering
- Proficient in writing clean, maintainable code and well‑documented data pipelines
- Wide knowledge of different database types and designs
- Familiarity with data modelling techniques
- Genuine enthusiasm for learning new ideas and techniques
General
- Ensure compliance with Nomia’s data protection and information security policies
- Hybrid work model — 3 days per week in office, with flexibility based on training or team needs
- Promote inclusivity, innovation, and ethical use of AI across the organisation
- Be adaptable and proactive in learning new tools, techniques, and methods as the AI landscape evolves
Data Engineer in London employer: NOMIA
At Nomia, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid working model allows for flexibility, with three days in the office and two days remote, promoting a healthy work-life balance. We are committed to employee growth, offering continuous training and development opportunities, ensuring that our team members thrive in their roles while contributing to meaningful projects that drive efficiency and value for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨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 NOMIA!
✨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 Data Engineer at NOMIA.
✨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 NOMIA.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at NOMIA, 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 Data Engineer in London
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 NOMIA, 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 NOMIA. 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 NOMIA
✨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 NOMIA!
✨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.
