At a Glance
- Tasks: Lead the design and evolution of data pipelines and platforms for analytics and reporting.
- Company: Join NewDay, a forward-thinking organisation focused on data-driven solutions.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Inclusive culture that values diversity and supports all employees.
- Why this job: Shape the future of data engineering and make a real impact on business insights.
- Qualifications: Experience with DBT, Python, SQL, and a passion for solving complex 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 Senior Data Engineer to lead the design, build, and evolution of the core pipelines and platforms that power analytics, reporting, and sophisticated data science across our business.
- How you'll contribute
- Leading the development and optimisation of ingestion and transformation pipelines using technologies such as Spark, Scala, Python, AWS, DBT, and Snowflake
- Architecting and evolving the organisation’s Data Lake environment to ensure it remains robust, scalable, secure, and future‑ready
- Owning and improving ETL processing, table refreshes, defect resolution, and other BAU activities, while driving automation to reduce manual effort
- Championing performance optimisation through concurrency, multi‑threading, automation, and best‑practice engineering patterns
- Guiding Agile delivery, mentoring engineers, and ensuring high‑quality, cloud‑native data solutions are shipped via CI/CD
- Integrating data from multiple sources and solving sophisticated data challenges with creativity, technical depth, and strategic thinking
- Influencing data engineering standards, patterns, and governance across the wider organisation
- We're looking for these essential skills
- Hands-on experience using DBT to design, build and improve data transformations within a complex data environment.
- 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.
- It's a plus if you also have these skills
- Experience using AWS or another major cloud platform.
Our environment includes EMR, Athena, Lambda, S3, Glue and Step Functions, but we're open to transferable experience solving similar problems.
- Experience with Snowflake, Spark, Scala or Airflow, or transferable experience with comparable technologies and solving similar data engineering challenges.
- Experience with Git, Git Hub and CI/CD practices, including tools such as Git Hub Actions.
- Knowledge of real-time data processing, data governance, data quality or observability.
- Experience using AI-enabled engineering tools or automation to improve data engineering productivity, quality or reliability.
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 unlock new opportunities for analytics, innovation, and strategic growth.
You’ll help define how data engineering is done at New Day — and ensure the organisation is ready for what comes next.
- #LI-Hybrid
- #LI-TM1
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
Senior Data Engineer employer: NewDay
At NewDay, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Our commitment to employee growth is evident through our focus on diversity and inclusion, ensuring that every team member can thrive while contributing to impactful marketing strategies. With competitive benefits and a supportive environment, we empower our employees to drive meaningful change and achieve their career aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 NewDay!
✨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 NewDay.
✨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.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at NewDay, 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
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, 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. 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
✨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!
✨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.
