At a Glance
- Tasks: Develop and maintain data pipelines using SQL and Python in a collaborative team.
- Company: RealityMine, a pioneer in data-driven insights for top global brands.
- Benefits: Hybrid working, mentorship, and opportunities for hands-on experience with AWS technologies.
- Other info: Join a dynamic team with excellent growth potential and a focus on innovation.
- Why this job: Kickstart your data engineering career with real-world projects and supportive guidance.
- Qualifications: Strong foundations in SQL and Python; problem-solving skills are a plus.
The predicted salary is between 28000 - 35000 € per year.
RealityMine has been a pioneer in delivering data driven insights to the world's largest brands for over a decade. Our platform provides unique data solutions to our clients enabling them to make strategic, informed decisions powered by data from real people, collected in a privacy safe way. As we continue to expand, we are seeking a Data Engineer to join our Data Engineering team. This is a development-focused role for someone with strong foundations in SQL, Python and problem-solving, who is looking to grow into a well-rounded Data Engineer.
You’ll work alongside experienced engineers to build, maintain and improve the data pipelines that support our customer reporting capabilities.
The Role: Our offices are in Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same!
Your primary responsibilities will involve developing and maintaining a mix of real time and batch ETL jobs on a large and complex dataset. You will use and continue to develop your Python and SQL skills to ensure data accuracy, integrity, and scalability, while also engaging in continuous improvements to develop innovative and scalable data solutions. You won’t be expected to know everything from day one. You’ll be supported by experienced engineers through code reviews, pairing and mentoring, with opportunities to take on more ownership as your confidence and technical capability grow.
This is a great opportunity for someone early in their data engineering career to gain hands-on experience working with large scale data pipelines, AWS cloud technologies and production engineer practices in a supportive team environment. After a suitable settling in period, you will also join our out of hours on call team, with appropriate support, guidance and additional compensation.
Key Responsibilities:
- Work with the team to understand requirements and to manage and organise priorities effectively.
- Continually review and measure the performance of the data pipeline and evaluate improvements in design, architecture and tooling.
- Design and develop ETL, infrastructure as code and automation scripts that follow industry best practices and standards.
- Supporting and identifying improvements to the deployed production systems to ensure high application uptime and stability.
- Monitoring application performance to handle increases in scale and data volumes.
- Maintaining clear documentation for datasets, logic, processes and known issues.
- Collaborate with internal engineering, product and operations teams to align on scope and deliverables.
- Adhering to Company Policies and Procedures with respect to Security, Quality and Health.
Data Engineer (Junior) employer: RealityMine
RealityMine is an exceptional employer that fosters a collaborative and innovative work culture, perfect for aspiring Data Engineers. With a hybrid working model based in Manchester, employees benefit from flexible working arrangements while receiving mentorship from experienced engineers, ensuring continuous professional growth. The company prioritises employee development through hands-on experience with large-scale data pipelines and AWS technologies, making it an ideal place for those seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Junior)
✨Tip Number 1
Network like a pro! Reach out to current employees at RealityMine on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice coding challenges and be ready to discuss your problem-solving approach. We want to see how you think, so don’t just memorise answers—understand the concepts!
✨Tip Number 3
Showcase your projects! If you've worked on any data pipelines or relevant projects, make sure to highlight them during interviews. We love seeing practical applications of your skills, so bring your portfolio or GitHub links along!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at RealityMine!
We think you need these skills to ace Data Engineer (Junior)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your SQL and Python skills in your application. We want to see how you can use these tools to solve problems and improve data pipelines, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for the Data Engineer role. Mention specific experiences that relate to the responsibilities listed in the job description, like working with ETL processes or large datasets.
Be Yourself:We’re looking for someone who’s eager to learn and grow. Don’t be afraid to share your passion for data engineering and any projects you’ve worked on, even if they’re not from a professional setting.
Apply Through Our Website:For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at RealityMine
✨Know Your Tech Stack
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these technologies in past projects or coursework. It’s a great way to show your foundational knowledge and eagerness to learn more.
✨Understand the Role
Familiarise yourself with the responsibilities of a Data Engineer, especially around ETL processes and data pipelines. Research RealityMine's approach to data solutions and think about how you can contribute to their goals. This will help you answer questions more effectively and demonstrate your genuine interest.
✨Prepare for Problem-Solving Questions
Expect some technical problem-solving scenarios during the interview. Practice explaining your thought process clearly when tackling these problems. It’s not just about getting the right answer; it’s about showing how you approach challenges and work through them.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of your interview. Inquire about the team dynamics, the tools they use, or how they measure success in the role. This shows that you’re engaged and serious about finding a good fit for both you and the company.
