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- Tasks: Build and maintain a cutting-edge data platform for global retail energy clients.
- Company: Join Kraken, a leader in innovative data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on innovation and collaboration.
- Why this job: Make a real impact by transforming raw data into valuable insights.
- Qualifications: Experience with Python, SQL, and cloud environments; passion for quality code.
The predicted salary is between 50000 - 70000 £ per year.
At Kraken, we have developed a data platform used by our retail energy business clients worldwide. The platform empowers users with self-service data analytics and automates data processing workflows, from simple ETL jobs to ML training and prediction. The data platform works across the whole customer domain on anything from natural language understanding of customer communications to processing billions of smart meter readings each day to support clients in creating customized smart energy tariffs.
We are looking for an experienced data engineer to join the team to help us build and maintain our platform, pipelines and data sources.
What You’ll Do- Build the platform used by Analytics Engineers to transform raw data into insight for the rest of the business — dbt is a powerful tool and we’ve built our own wrapper around it to maximise its effectiveness at Kraken.
- Investigate and implement new tooling where appropriate, whether it’s developed in-house or sourced externally.
- Maintain and build on our existing data infrastructure and tools.
- Consult the wider business on Analytics Engineering best practices and stay up to date with trends within the profession.
- Support the internationalisation of our data infrastructure as we continue to grow globally.
- Python, SQL, DBT.
- Experience deploying data services in a cloud environment (ideally AWS).
- Experience in infrastructure as code — Terraform / Spacelift.
- Experience with monitoring and optimising developer productivity using tools like Sentry.
Projects will be varied and we’re looking for someone who can work autonomously and proactively to scope problems and solve and deliver pragmatic solutions. First and foremost, we want our data engineers to be great software engineers with a passion for writing high quality code.
Data Engineer in Manchester employer: Kraken Digital Asset Exchange
Contact Detail:
Kraken Digital Asset Exchange Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at Kraken on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role as a Data Engineer. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and DBT. This will give you an edge and demonstrate your hands-on experience with the tools Kraken uses.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding data infrastructure concepts. Practice common data engineering problems and be ready to discuss your thought process during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Kraken team and contributing to their innovative data platform.
We think you need these skills to ace Data Engineer in Manchester
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 DBT, and don’t forget to mention any cloud deployment experience you have. We want to see how your skills align with what we’re looking for!
Showcase Your Projects: Include specific projects where you've built or maintained data platforms or pipelines. We love seeing real examples of your work, especially if they demonstrate your ability to solve problems autonomously and deliver effective solutions.
Be Clear and Concise: When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, so get to the point while showcasing your skills and experiences.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Kraken!
How to prepare for a job interview at Kraken Digital Asset Exchange
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and DBT. Brush up on your experience with cloud environments like AWS and infrastructure as code tools such as Terraform. Being able to discuss your hands-on experience with these technologies will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've scoped problems and delivered pragmatic solutions in past projects. This role requires autonomy and proactivity, so demonstrating your ability to tackle challenges head-on will impress the interviewers.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in Analytics Engineering and data infrastructure. Being able to discuss new tools or methodologies that could benefit Kraken’s platform will highlight your commitment to continuous learning and improvement.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. As a data engineer, you’ll need to consult with various teams, so being able to communicate effectively is key. Prepare to discuss how you’ve collaborated with others in the past to ensure everyone is on the same page.