At a Glance
- Tasks: Lead a team of Data Engineers to build scalable data products and platforms.
- Company: Join NewDay, a pioneering company in consumer credit and finance technology.
- Benefits: Enjoy a competitive salary, hybrid work options, and opportunities for career growth.
- Other info: Inclusive culture that values diversity and supports personal growth.
- Why this job: Make a real impact by shaping the future of data engineering with AI and automation.
- Qualifications: Experience in data engineering, Python, SQL, and leading teams.
The predicted salary is between 63000 - 77000 £ per year.
As a Lead Data Engineer, you'll lead a pod of Data Engineers to build reliable, scalable data products and platforms that continue to help New Day make better decisions and get more value from our data.
This is a hands-on management role where you'll combine technical expertise with people leadership.
You'll role-model our engineering approach, standards for quality and support your team to solve complex data challenges at scale.
We also want to keep evolving how we use AI and automation within data engineering, giving you the opportunity to bring your ideas and curiosity to help us explore smarter, more efficient ways of working.
How you'll contribute
You'll lead and develop a pod of Data Engineers, creating an environment where people can learn, collaborate and deliver high-quality engineering.
You'll shape the technical direction for data within your area, providing guidance across data modelling, data warehousing, ETL/ELT and scalable data platforms.
You'll remain hands-on, designing and developing complex data pipelines and solutions using dbt, Python, SQL and modern cloud data technologies.
You'll champion engineering quality, improving testing, data quality, observability and automation to make our data products more reliable and easier to operate.
You'll collaborate across technology and the business, turning complex requirements into practical data solutions and exploring how AI and emerging technologies could improve the way your team engineers and delivers.
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.
- Additional assets
- 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.
Externally this job title might also be known as Data Engineering Lead, Data Platform Lead or Principal Data 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.
#LI-Hybrid #LI-TM1
Permanent We help people move forward with credit and help our colleagues to move their careers forward too.
Through innovative consumer credit and embedded finance products powered by groundbreaking technology, we deliver over 300 million transactions every year.
Our brands include Aqua, Marbles, Fluid, Bip and New Pay.
We partner with leading brands such as AO, Argos, Boohoo, John Lewis and Lloyds Bank.
Over 5 million UK customers are supported by our award-winning customer service.
#J-18808-Ljbffr
Lead Data Engineer employer: NewDay Technology Limited
NewDay is an exceptional employer that fosters a vibrant and inclusive work culture, where diversity is celebrated and every employee is encouraged to bring their authentic selves to work. As the Head of Information Security, you will have the unique opportunity to shape the security landscape of a forward-thinking financial services company, with ample opportunities for professional growth and collaboration across various departments. With a commitment to employee development and a focus on innovative technology, NewDay empowers its team members to thrive in their careers while contributing to meaningful projects that impact millions of customers.
StudySmarter Expert Advice🤫
We think this is how you could land Lead 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 Technology Limited!
✨Show Off Your Projects
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✨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 Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at NewDay Technology Limited, 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 Lead 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 Technology Limited, 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 Limited. 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 Limited
✨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 Limited!
✨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.
