At a Glance
- Tasks: Build data solutions and pipelines using Python and SQL in a collaborative team.
- Company: Join Lloyds Banking Group, a values-led and inclusive workplace.
- Benefits: Competitive salary, generous holiday, private health cover, and flexible working options.
- Other info: Diverse team culture with excellent career growth opportunities.
- Why this job: Make an impact with data-driven insights and innovative technologies.
- Qualifications: Experience in Python, SQL, and cloud-based environments is essential.
The predicted salary is between 61000 - 76000 £ per year.
Company: Colten Care
Overview
Jobs for Humanity is dedicated to building an inclusive and just employment ecosystem. This posting invites applicants from Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Ethnic Minority, and Previously Incarcerated communities. We encourage registration even if this opportunity is not the right fit.
Job Details
- End Date — not specified
- Salary Range — £61,176 - £76,470
- We support agile working – click here for more information on agile working options.
- Agile Working Options — Other Agile Working Arrangements / Open to Discussion
Job Description Summary
A key Data Engineer role in our Chief Data & Analytics Office. This position involves building data solutions across data engineering, data science, BI, and agile delivery to support customer segmentation, pricing, credit decisioning, commercial performance, and fraud detection. The team uses Cloud technologies to enable data-led decisions and data-driven insights.
You would be joining a team of data engineers who analyse data and build pipelines in distributed environments using Python, SQL, and related technologies. You will ingest structured and unstructured data into our data lake and collaborate with Machine Learning Engineers and Data Scientists in Hadoop, Spark, Teradata, GCP, and Azure environments. You should be passionate about developing new solutions, evaluating new tech, and translating data into analytics opportunities.
What you’ll do
- Analyse data and build pipelines in distributed environments using Python, SQL, and other data technologies
- Develop high-quality, reusable data pipelines at scale and ingest data into the data lake
- Collaborate with Machine Learning Engineers and Data Scientists in Hadoop, Spark, Teradata, GCP, and Azure
- Evaluate new technologies and translate data into analytics-based opportunities
Essential experience
- Good coding/scripting experience using Python and SQL in a commercial/industry setting
- Computer science fundamentals: data structures, algorithms, software design, design patterns, core programming concepts
- Experience delivering analytical use cases in a cloud-based environment
Bonus experience
- Exposure to Hadoop technologies (e.g., HDFS, Hive, HBase) or experience with high-volume, low-latency data storage and analytics platforms
- Exposure to GCP cloud tooling (e.g., Cloud DataFlow, BigQuery)
Benefits
What you’ll get in return
Our team is full of down-to-earth people passionate about data, with career potential and exposure to a range of technologies. We offer hybrid working patterns (2-3 days in our London or Bristol hub) to support work/life balance. We are committed to diversity and equal opportunity, with reasonable adjustments available in our recruitment process.
We offer a comprehensive package including:
- Salary range between £48,000 - £80,000, depending on location and experience
- Discretionary annual group performance bonus
- Generous pension contribution up to 15%
- 4% flex cash pot for lifestyle benefits (or take as cash)
- 30 days holiday plus bank holidays
- Private health cover (extendable to family)
- Share schemes, including free shares
- Generous parental/adoption leave policies
About the employer
At Lloyds Banking Group, we aim to help Britain prosper. We prioritise a values-led culture and an inclusive workplace where all colleagues can succeed on merit. This posting is aligned with our commitments to diversity and inclusion.
Data Engineer employer: Dev
Gopuff is an exceptional employer that champions inclusivity and community, making it a fantastic place for individuals from diverse backgrounds to thrive. With competitive pay, comprehensive benefits, and a strong focus on career progression, Gopuff fosters a supportive work culture where every team member can contribute to delivering everyday magic. Join us at our vibrant London hub, where you'll be part of a dynamic team dedicated to reshaping the retail landscape while enjoying the camaraderie of fellow riders.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Create a portfolio showcasing your projects and skills in Python, SQL, and any cloud technologies you've worked with. This is your chance to demonstrate what you can do beyond just a CV. We love seeing real examples of your work!
✨Ace the Interview
Prepare for technical interviews by practicing coding challenges and understanding data structures and algorithms. Don’t forget to brush up on your problem-solving skills, as they’re crucial for a Data Engineer role. We want to see how you think!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that job! It shows you're genuinely interested and gives us a clear view of your application. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, SQL, and any cloud technologies you've worked with. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them in your application. Whether it's building data pipelines or collaborating on analytics, we want to see what you've done and how it relates to the role.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Dev
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Python, SQL, and any cloud tools like GCP or Azure. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've built data pipelines or solved complex data problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Company’s Values
Colten Care is focused on inclusivity and diversity. Familiarise yourself with their mission and values, and think about how your own experiences align with their commitment to building an inclusive workplace. This will show that you’re not just a fit for the role, but also for the company culture.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of your interview. Inquire about the team dynamics, the types of projects you might work on, or how they evaluate new technologies. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
