At a Glance
- Tasks: Monitor and support data pipelines, ensuring timely and accurate data refresh.
- Company: Join NewDay, a leader in transforming credit through technology and innovation.
- Benefits: Enjoy a competitive salary, hybrid work options, and opportunities for professional growth.
- Other info: Collaborative team culture where your ideas are valued and diversity is celebrated.
- Why this job: Make a real impact on data solutions that support millions of customers.
- Qualifications: Experience with Python, AWS, and big data technologies like Spark and Kafka.
The predicted salary is between 50000 - 65000 £ per year.
- What you\'ll be doing
- Monitor and support business-critical data pipelines and ensure data is refreshed accurately and on time.
- Investigate, respond to and resolve production incidents, minimising impact and restoring service quickly.
- Conduct root cause analysis (RCA) and work with engineers to implement permanent fixes.
- Build a deep understanding of our data infrastructure, tooling and operational processes.
- Identify opportunities to improve reliability, performance and efficiency across our data platforms.
- Develop monitoring, alerting and data quality controls to proactively detect issues before they impact users.
- Work within an Agile environment, contributing to development and CI/CD release processes.
- Create and maintain technical documentation, knowledge articles and operational runbooks.
- Act as a technical point of contact for data pipeline and cloud platform topics.
- Support and mentor junior team members, sharing expertise and best practices.
- What we\'re looking for
You\’ll bring a blend of technical expertise and a passion for continuous improvement.
Essential Experience
- Experience supporting and maintaining enterprise data solutions, including ETL processes and data refresh activities.
- Strong experience with Python.
- Experience working with big data and data integration technologies such as Spark and Kafka.
- Hands-on experience with AWS, including services such as Athena, Glue, EMR, Step Functions and Cloud Watch.
- Experience working with Snowflake and dbt.
- Knowledge of CI/CD practices and deployment pipelines.
- Experience managing and resolving IT incidents within a structured incident management framework.
- Strong analytical and problem-solving skills with a focus on data solutions.
- Understanding of event-driven or streaming architectures.
- Nice to have
- Experience with additional ETL technologies.
- Previous ownership of data platform monitoring and operational improvements.
- Exposure to Grafana.
- Knowledge of Scala.
- Why join New Day
At New Day, we\’re transforming how people experience credit through technology, data and innovation.
You\’ll work with modern cloud technologies, tackle meaningful engineering challenges, and help deliver reliable data services that support millions of customer interactions.
You\’ll join a collaborative team where your ideas are valued, your expertise is trusted, and you\’ll have the opportunity to make a visible impact from day one.
If you\’re passionate about data operations, cloud platforms and building resilient, scalable data solutions, we\’d love to hear from you.
- #LI-Hybrid
- #LI-TM1
We value all types of diversity.
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.
- Contract type
- Permanent
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.
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Data Engineer employer: NewDay Technology Limited
At NewDay, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Platform Engineer, you'll have the opportunity to work with cutting-edge technologies in a supportive environment that prioritises employee growth and development. Our commitment to diversity and inclusion ensures that every team member feels valued and empowered to contribute to meaningful projects that enhance the developer experience.
StudySmarter Expert Advice🤫
We think this is how you could land 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
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 Limited.
✨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 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 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.
