At a Glance
- Tasks: Design and build data pipelines that power analytics and reporting.
- Company: Join NewDay, a forward-thinking data-driven organisation.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Other info: Diverse and inclusive workplace where your unique self is valued.
- Why this job: Shape the future of data engineering and drive impactful insights.
- Qualifications: Experience with DBT, Python, SQL, and a passion for solving data challenges.
The predicted salary is between 63000 - 77000 £ per year.
Are you ready to shape the backbone of a data‑driven organisation?
New Day are looking for a Data Engineer to help us design, build, and evolve the core pipelines and platforms that power analytics, reporting, and sophisticated data science across our business.
Why this role matters
You'll play a central role in ensuring data flows reliably and efficiently at scale.
You will directly enable faster insights, smarter decision‑making, and a resilient data ecosystem that supports everything from operational reporting to ground breaking modelling.
- How you'll contribute
- Developing and improving ingestion and transformation pipelines using technologies such as Spark, Scala, Python, AWS, DBT, and Snowflake
- Owning and improving the organisation's Data Lake environment and data platform. Ensuring it remains robust, scalable, and future‑ready
- Owning ETL processing, table refreshes, defect resolution, and other BAU activities
- Continuously optimising performance through concurrency, multi‑threading, automation, and best‑practice engineering patterns
- Working within Agile delivery frameworks to ship high‑quality, cloud‑native data solutions via CI/CD
- Integrating data from multiple sources and solving sophisticated data challenges with creativity.
- Design and develop modular, reusable scalable and configurable data engineering solutions that adhere to the D.
Y principle, minimising manual intervention and promote automation.
- We're looking for these essential skills
- Hands‑on experience with DBT and Apache Airflow, building scalable data transformations and DAGs to orchestrate complex, reliable data pipelines.
- Manage task dependencies, automated retries and error handling to ensure reliable pipeline execution with minimal manual intervention.
- Engineering experience using Python and SQL, with the ability to solve complex data problems at scale.
- The ability to design and guide modern data engineering solutions, with knowledge of data modelling, ETL/ELT, data warehousing and scalable data pipelines.
- The ability to lead and develop Data Engineers, combining hands‑on technical contribution with coaching, technical direction and ownership of delivery.
- An interest in AI and automation, with the technical curiosity to explore how emerging technologies could improve engineering quality, productivity and ways of working.
We know great candidates don't always meet every requirement.
If you have strong data engineering foundations, hands‑on DBT experience and experience solving sophisticated problems at scale, we'd encourage you to apply even if you haven't worked with every technology listed above.
The impact you'll make
Your work will strengthen the foundation of our entire data landscape.
By improving reliability, reducing manual intervention, and accelerating time to insight, you’ll help unlock new opportunities for analytics, innovation, and strategic growth.
Externally this job title might also be known as Data Platform Engineer.
At New Day, we value all types of diversity.
We're an equal opportunity employer and believe that our differences create a vibrant, authentic working culture.
We want all our colleagues to feel able to bring their whole selves to work.
We don't discriminate on the basis of protected characteristics or identities.
We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process.
Tell us if you need accommodations: We'll put reasonable adjustments in place to support you.
We work with Textio to make our job design and hiring inclusive.
- Permanent
Data Engineer in London employer: NewDay Technology
NewDay Technology provides a collaborative work environment where employees can grow professionally while engaging in impactful projects. The company emphasizes continuous improvement and offers hands-on leadership roles in data engineering and supplier management.
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 NewDay Technology!
✨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 NewDay Technology.
✨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 NewDay Technology.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at NewDay Technology, 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 NewDay Technology, 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 NewDay Technology. 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 NewDay Technology
✨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 NewDay Technology!
✨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.
