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Senior Data Platform Engineer

*A little heads-up: With some of our team taking some well-deserved annual leave over the next couple of weeks, we may not get around to carefully reviewing all applications until the new year. Every application gets reviewed by a real human, and we’ll be in touch to let you know either way—whether it’s a yes or, sadly, a no this time round. Thanks for your patience and understanding!*


Help us use technology to make a big green dent in the universe!


Kraken powers some of the most innovative global developments in energy.


We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.


It’s a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future.


KrakenFlex


The energy industry is undergoing the largest transformation since industrialisation at an unprecedented rate of change and we are positioning ourselves to be at the heart of that change. 


Our aim is to be the leading global provider of solutions that enable customers to release £30bn of value per annum from distributed energy resources (DERs). We are building a Software as a Service (SaaS) subscription business with a global addressable market of £2.4 billion per annum, by digitally connecting hundreds of thousands of DERs with energy markets.


We have already attained a market leading position and KrakenFlex is a recognised thought leader and innovator in the industry.


As we enter the stage of rapid commercialisation and customer account growth, we have a number of exciting new offerings to launch to customers. We’re looking for an exceptional person to help us continuously deliver features that provide value to our customers. Our ideal engineer would be an individual who loves to engage with interesting software problems, with an interest in data related development and the passion to build and shape the future within a collaborative, community-based environment. We operate a highly agile development approach, giving wide scope to be involved with hands-on system-design, test driven development, deployment and operations.


Our data sources and problems are many and varied.  We have some simple but high throughput data sources (e.g. over 5,000,000,000 rows a day and growing rapidly), complex unstructured and semi structured data and complex application data from our various microservices.


Our aim is to allow our business and our customers to answer increasingly complex questions, and gain new insights, based on our data, additional external data, and things we can learn and models we can extract from our data.  


What you'll do
  • Build and maintain a global data platform
  • Build and maintain data pipelines that deliver key data and insights to the business and our customers
  • Integrate new data sources into the data platform through APIs, CDC or bulk data transfer
  • Build and maintain testing and documentation frameworks for our data sources
  • Work with the business to scope and deliver new data engineering projects and requirements
  • Maintain and build on our existing data infrastructure and tools
  • Support the internationalisation of our data infrastructure as we continue to grow globally
  • Contribute to the software engineering and data engineering culture here at Kraken
  • Collaborate regularly with colleagues with many different professional specialities, including software engineers and data scientists, to create innovative solutions that delight our customers and colleagues
  • Work as part of a globally distributed team of engineers, regularly seeking feedback and growing your skills as technical professionals.


What you'll need
  • In depth industry experience in a data engineering capacity
  • Experience in Python
  • Experience developing, securing or operating cloud scale data platforms and infrastructure; ideally terraform or cloudformation
  • Experience with data processing and/or analytics technologies e.g. Databricks, dbt, AWS Glue, Spark, Airflow, Redshift, SQL, Parquet/delta (don’t worry, we don’t expect or want you to have them all, and experience with other technologies doing the same jobs is also interesting).
  • Industry experience in software development & design
  • A drive to get things done in a collaborative, agile development environment
  • An interest in working with large data sets, both processing and analysing, and building data products for our customers
  • A proven ability to perform and communicate well in a fast-paced environment
  • Excellent analytical and multitasking skills


It would be great if you had
  • Experience working with data lakes and data at scale
  • Experience migrating data between platforms at scale
  • Experience with AWS or similar cloud providers, and serverless technologies e.g. AWS Lambda, Kinesis, DynamoDB, API Gateway 
  • Experience working with a team distributed across multiple continents and timezones


Why else you'll love it here
  • Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Kraken - what's more important to us is finding the right Kraken-fit!
  • Kraken has an unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people 
  • Visit our perks hub - Kraken Employee Benefits


If this sounds like you then we'd love to hear from you.


Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!


Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.

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What You Should Know About Senior Data Platform Engineer, Kraken

Are you ready to make a meaningful impact in the energy sector? Join Kraken as a Senior Data Platform Engineer in Manchester, where you'll help us harness technology to drive sustainable energy innovations worldwide. At Kraken, we pride ourselves on creating a smart and sustainable energy system, and our KrakenFlex platform is at the forefront of this transformation. As part of our agile team, you'll build and maintain a robust global data platform, ensuring we can answer complex questions and gain valuable insights from a vast array of data sources. Your expertise in data engineering will shine as you develop data pipelines that deliver crucial information to our business and customers. You'll integrate new data sources, collaborate with engineers and data scientists, and contribute to our culture of innovation. We seek a passionate problem-solver with industry experience in data engineering and a knack for working with large datasets. Familiarity with Python and cloud technologies, such as AWS or Terraform, will help you thrive as you tackle exciting challenges. Join us in shaping a more sustainable, data-driven future, where your contributions truly matter and help create an energy system that benefits everyone. If you're looking for an inclusive, dynamic work environment where you can grow, learn, and connect, Kraken is the place for you!

Frequently Asked Questions (FAQs) for Senior Data Platform Engineer Role at Kraken
What are the key responsibilities of a Senior Data Platform Engineer at Kraken?

As a Senior Data Platform Engineer at Kraken, your core responsibilities include building and maintaining a global data platform, developing data pipelines, and integrating new data sources through APIs or bulk transfers. You will also document testing frameworks, collaborate on new data engineering projects, and support our international growth by enhancing existing data infrastructure.

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What skills are required to become a Senior Data Platform Engineer at Kraken?

To be successful as a Senior Data Platform Engineer at Kraken, you should have in-depth experience in data engineering, proficiency in Python, and familiarity with cloud-scale data platforms like AWS. Knowledge of data processing technologies such as Databricks, Spark, or Airflow is advantageous, as is experience with software development and design principles.

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What is the work culture like for a Senior Data Platform Engineer at Kraken?

Kraken fosters a unique culture where autonomy and innovation thrive. You'll work alongside talented co-workers in a collaborative environment that encourages learning and professional growth. We value diverse perspectives and strive to create an inclusive atmosphere where every team member’s contributions are recognized and appreciated.

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How does Kraken support the professional development of its Senior Data Platform Engineers?

At Kraken, professional growth is our priority. As a Senior Data Platform Engineer, you will have access to a variety of learning opportunities, mentorship, and the chance to engage with a globally distributed team of experts. We actively promote skill development through collaborative projects and encourage you to seek feedback to continually enhance your expertise.

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What types of data projects will a Senior Data Platform Engineer work on at Kraken?

In your role as a Senior Data Platform Engineer at Kraken, you will engage in diverse data projects involving both structured and unstructured datasets. You'll develop scalable data solutions, process high-throughput data, and utilize various data technologies to deliver insights that impact business decisions and enhance our customer experience.

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Common Interview Questions for Senior Data Platform Engineer
Can you explain your experience with data engineering and the technologies you've worked with?

When asked about your experience in data engineering, provide specific examples of projects you’ve led or contributed to. Include details about the technologies you’ve used, such as Python, AWS, or Databricks, and discuss how these tools have helped you solve complex problems or achieve specific objectives.

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What is your approach to building and maintaining data pipelines?

Discuss your methodology for building data pipelines, emphasizing your focus on scalability, reliability, and data accuracy. Mention any best practices you follow, like utilizing ETL processes or incorporating testing frameworks, and share examples of successful pipelines you've implemented in previous roles.

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How do you handle the challenges of working with large datasets?

Describe your strategies for managing large datasets, such as optimizing data storage or employing parallel processing techniques. Share examples from past experiences that showcase how you've overcome challenges related to data volume, velocity, or variety to deliver actionable insights.

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Can you give examples of how you've collaborated with other teams?

Collaboration is crucial in data engineering roles. Explain specific instances where you worked closely with software engineers, data scientists, or business stakeholders to deliver successful projects. Highlight the benefits of cross-functional collaboration and how it led to better outcomes for your team and the organization.

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What tools do you prefer for data visualization and reporting, and why?

Talk about the tools you are most comfortable with for data visualization, such as Tableau or Power BI, and explain your reasons for using them. Discuss how effective data visualization has helped in making data-driven decisions and driving stakeholder engagement in your previous roles.

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How do you ensure data quality and integrity in your projects?

When addressing data quality, emphasize your commitment to rigorous testing, validation, and monitoring processes. Discuss specific techniques you use to maintain data integrity, such as implementing data validation rules or conducting regular audits to catch and rectify errors early in the project lifecycle.

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How do you prioritize multiple projects with tight deadlines?

Explain your approach to time management and prioritization. Share any techniques, like the Eisenhower Matrix or Agile methodologies, that you use to assess urgency and importance in your workload. Providing examples of how you successfully met deadlines while maintaining quality can strengthen your answer.

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What excites you about working at Kraken?

Reflect on the aspects of Kraken that resonate with you, such as the opportunity to work on innovative projects in the energy sector or the company's commitment to sustainability. Explain how these values align with your interests and career objectives, showcasing your enthusiasm for becoming part of the Kraken team.

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Can you describe a challenging project you worked on and how you overcame obstacles?

This question invites you to demonstrate your problem-solving skills. Describe a challenging data engineering project in detail, emphasizing the obstacles faced, your approach to finding solutions, and the eventual outcomes. Highlight the skills you employed and any lessons learned along the way.

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How do you keep up with trends and advancements in data engineering?

Convey your passion for continuous learning by discussing how you stay informed about industry trends. Mention resources like online courses, webinars, or technical blogs you follow, and share any personal projects or contributions to communities that reflect your engagement with the field.

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Inclusive & Diverse
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Take Risks
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Collaboration over Competition
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Full-time, remote
DATE POSTED
December 23, 2024

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