At a Glance
- Tasks: Develop and maintain data pipelines using SQL and Python in a supportive team.
- Company: Join RealityMine, a dynamic tech company focused on data insights.
- Benefits: Enjoy 25 days paid holiday, life assurance, and a bonus scheme.
- Other info: Flexible hybrid working model with excellent career growth opportunities.
- Why this job: Kickstart your data engineering career with hands-on experience and mentorship.
- Qualifications: 1+ years of SQL and Python experience; eagerness to learn and grow.
The predicted salary is between 30000 - 40000 € per year.
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 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.
- Support and identify improvements to the deployed production systems to ensure high application uptime and stability.
- Monitor application performance to handle increases in scale and data volumes.
- Maintain clear documentation for datasets, logic, processes and known issues.
- Collaborate with internal engineering, product and operations teams to align on scope and deliverables.
- Adhere to Company Policies and Procedures with respect to Security, Quality and Health & Safety.
- 1+ years of SQL and Python professional development experience as a Data Engineer, preferably using AWS or Google Cloud Platform.
- A self-motivated and proactive learner with a growth mindset, who is keen to develop and progress their data engineering career.
- Strong analytical and communication skills to take a data driven approach in presenting decisions to stakeholders.
- The ability to problem-solve and break down complex problems, whilst working on large and complex datasets.
- Someone who is flexible and agile, ready to adapt to changes when things don’t go to plan.
- Knowledge of agile software development best practices including continuous integration, automated testing and working with software engineering requirements and specifications.
- Good interpersonal skills, positive can-do attitude and willing to help other members of the team.
- Experience using Apache Spark (Scala or Python) is preferred, however training will be provided.
- Exposure to using AI tools to enhance productivity and quality of coding, reviews and documentation.
At RealityMine, we believe our people are at the heart of everything we do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here.
Your Benefits:- Generous Time Off: Enjoy 25 days of paid holiday, plus bank holidays. After two years with us, you can also buy or sell up to 5 days of annual leave.
- Peace of Mind: Life assurance and a workplace pension with employer contributions.
- Reward for Performance: Bonus scheme that recognises your hard work and contributions.
- Cycle to Work Scheme: For the cyclists among us, we've got you covered.
- Gear You’ll Love: Choose the tech that works for you, we'll try and source it!
- Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing.
- Giving Back: Join us in supporting local charities and making a positive impact.
We know work-life balance matters, so we’ve embraced a flexible hybrid working model:
- Located in Trafford Park, our Manchester office offers an inspiring, collaborative space to work alongside your colleagues.
- Free parking and secure bike shed. Excellent public transport links.
- Split your time between the office and home, with 2 days working in our offices.
- Full equipment provided for home working (desk, screen, chair).
- Receive £100 annually to personalise your home workspace.
- Flexible start and finish times to suit your personal circumstances.
If you’re a Data Engineer professional excited to work on impactful projects and shape the future of data insights, we’d love to hear from you.
Please email your CV with the heading ‘Data Engineer’ to recruitment@realitymine.com
Data Engineer (Junior) in Manchester employer: RealityMine
At RealityMine, we prioritise our employees' growth and well-being, offering a supportive environment where you can thrive as a Data Engineer. With generous benefits like 25 days of paid holiday, a bonus scheme, and a commitment to continuous learning, you'll find ample opportunities to develop your skills while enjoying a flexible hybrid working model in our collaborative Manchester office. Join us to be part of a dynamic team that values innovation and community impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Junior) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL and Python. This gives you a chance to demonstrate your abilities beyond just a CV.
✨Tip Number 3
Prepare for the interview by practising common data engineering questions. Think about how you’d tackle real-world problems and be ready to discuss your thought process.
✨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.
We think you need these skills to ace Data Engineer (Junior) in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SQL and Python skills, as well as any relevant experience with data pipelines. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this Data Engineer position. Share your passion for data engineering and how you plan to grow in this role. A personal touch goes a long way!
Showcase Your Problem-Solving Skills:In your application, mention specific examples where you've tackled complex problems or improved processes. We love seeing how you approach challenges, especially when it comes to working with large datasets.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at RealityMine
✨Know Your Tech
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, as this will show your foundational knowledge and eagerness to grow.
✨Understand the Role
Familiarise yourself with the responsibilities of a Data Engineer, especially around ETL processes and data pipelines. Think of examples from your experience that demonstrate your problem-solving skills and ability to work with large datasets.
✨Show Your Growth Mindset
Be prepared to talk about how you approach learning and development. Share instances where you've taken the initiative to learn new tools or techniques, especially in relation to AWS or Google Cloud Platform, as this aligns with what they’re looking for.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and their approach to continuous improvement. This not only shows your interest in the role but also helps you gauge if the company culture is the right fit for you.
