Senior Data Engineer

Arenko was founded in 2014 and we are growing rapidly in an emerging sector. We’d describe ourselves as fast-paced and inclusive. Our team are self-motivated problem solvers who take a collaborative approach to help the business develop and grow.

As we move to the high-renewables and low carbon era, electricity storage is transforming the way the energy industry operates. The energy industry is fast becoming a digital and multidisciplinary sector that provides a fundamental service for modern society, but these needs must be delivered in a socially responsible way. Arenko is using new technology to add flexibility to the grid and secure supply in this fast-changing industry, offering a huge variety of opportunities for the future. At Arenko we are strongly committed to our mission of building a sustainable future by enabling a zero-carbon grid worldwide. Energy storage has a crucial role to play in the energy transition, and our technology enables the transformation of energy systems.

At Arenko, we build software that enables us and our customers to physically trade and manage a significant portfolio of grid scale batteries and renewable energy assets which facilitate the clean energy transition, and data is our driving force. As a Senior Data Engineer, you will be instrumental in designing, building, and managing the infrastructure that enables efficient processing and analysis of our large and diverse datasets, ranging from power market data to asset telemetry. We are looking for an engineer with experience not just writing ETLs but delivering data products, as well as processing data outside walled-garden platforms. As part of a small data team working with a significant client-base, you will have a hands-on role driving data-driven decisions across Arenko and the growing green energy market, transforming the electricity grid in the UK and beyond.

Our primary tech stack & toolchain includes:

• Data Services: Python
• Data Lake: S3 / Athena
• ETL Pipelines: Prefect
• Messaging and Event Streaming: Pulsar
• Databases: PostgreSQL and Cassandra
• Infrastructure: AWS, Terraform, Docker
• Version Control and CI/CD: GitLab

As part of the Data team, you will work in an agile, cross-functional team, collaborating closely with your teammates and stakeholders across the business. Like all high-performing teams, you will have a high degree of autonomy to solve interesting problems and contribute to key products that will make a real impact on the energy transition.

Key Responsibilities:

• Build modern data services: Take charge of planning, designing, and developing data engineering projects, working with big data frameworks and integrating with a broader microservice stack.
• Enable industry-leading asset optimisation: Build the infrastructure that empowers our team to implement performant data science methods that will best optimise energy assets on the electricity grid.
• ETL process design and implementation: Create efficient Extract, Transform, Load (ETL) processes to streamline data integration and transformation.
• DevOps adoption: Embrace a DevOps culture by implementing Terraform and infrastructure as code (IaC) for our AWS data estate.
• Ensure data quality and consistency: Maintain high standards of data integrity across multiple data sources.
• Engage in cross-team collaboration: Work closely with data scientists, software engineers, stakeholders, etc. to deliver solutions that optimise energy storage assets.
• Mentorship and team guidance: Define and promote best practices for data infrastructure development and tooling. Mentor the wider data team on effective ways of working.

Who are you?

You’re degree level educated in computer science or a related discipline OR able to demonstrate equivalent workplace experience. You have extensive experience delivering projects focused on data collection, storage systems and data pipelines. You have advanced Python skills with a focus on writing clean, maintainable, and production-ready code. You’re experienced with the end-to-end development and deployment of data-focused software services. You have an in-depth understanding of ETL technologies and best practices. You’ve worked with SQL and NoSQL databases and big data frameworks like Spark, Pulsar, etc. You can demonstrate ability to integrate with external APIs for both data collection and providing data feeds to customers and third parties. You have hands-on experience with data storage, processing and analytics in cloud platforms (e.g., AWS, Google Cloud, Azure). You have an understanding of MLOps best practices and the tools required to maintain a suite of machine learning models. You're an organised and adaptable team player capable of leading and mentoring colleagues. You're able to communicate with stakeholders to identify needs and evaluate alternative technical solutions and strategies. You have a strong technical capacity for evaluating and expressing the effort and value associated with technical development decisions.

What’s in it for you?

We currently offer the following benefits with more to come in future:

• 25 days holidays in addition to public holidays, carry over flex and festive office closure.
• A genuine approach to flexible working.
• Enhanced parental leave offerings with 6 months of full salary for the primary caregiver and 1 month for the secondary caregiver.
• A yearly salary review for all employees.
• Access to MindTools.
• Bike to Work Scheme.
• Octopus EV Scheme.
• Access to our Employee Assistance Programme and complimentary eye tests in partnership with Specsavers.
• Internal working groups to focus on the things that matter to you.
• Regular opportunities to engage with our team, including quarterly socials and wellness initiatives.

Here at Arenko, we want every employee and candidate to feel valued, comfortable, and able to be their own free self at work. Together, we are committed to building a diverse and inclusive culture that encourages, supports, and empowers the authentic voices of all our employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or any other aspect that makes you unique.