Software Engineer - Data

Software Engineer - Data

Full-Time 64000 - 78000 £ / year (est.) Home office (partial)
FIELD

At a Glance

  • Tasks: Build and enhance data platforms for our innovative energy trading system, GAIA.
  • Company: Join Field, a leading renewable energy infrastructure provider with a vibrant team culture.
  • Benefits: Enjoy competitive salary, hybrid working, and generous perks including professional development funds.
  • Other info: Dynamic work environment with opportunities for growth and a focus on wellbeing.
  • Why this job: Make a real impact in the renewable energy sector while working with cutting-edge technology.
  • Qualifications: Proficient in Python and SQL, with hands-on data pipeline experience.

The predicted salary is between 64000 - 78000 £ per year.

Your Mission

Field is an Energy Storage Provider that operates across the value chain from project development through to asset management and trading. At the heart of Field’s operations and trading sits GAIA, our in-house automated energy trading platform which makes hundreds of decisions a day based on market signals, asset telemetry and forecasting model outputs. GAIA’s success has led to its outputs being more deeply integrated into the wider business along with the tools and technologies that have driven its success. This is where you come in. The successful candidate will build and improve the data platform that powers GAIA as well as improve the data capabilities in the wider business.

Key Responsibilities

  • This is a broad and hands-on role with the chance to improve how Field uses data within and beyond the realms of GAIA’s ecosystem.
  • Building and operating the production data pipelines and streaming integrations that ingest a wide range from market data to asset telemetry.
  • Partnering with our trading team to deliver the required data and capabilities for in-house forecasting model development.
  • Guiding and partnering with stakeholders in the wider business to build out integrations and analytical views over their data.

Skills, Knowledge and Expertise

The skills you’ll need:

  • Comfortable writing production-grade Python and SQL.
  • Hands-on data pipeline experience.
  • Comfortable working in the cloud with infrastructure as code.
  • Familiarity with modern data tooling across warehousing, transformation and business intelligence.
  • Collaboration skills to work with a wide range of stakeholders e.g. engineers, business stakeholders and data scientists.
  • Data product mindset.
  • Nice-to-have: Experience working with streaming or near-real-time pipelines.
  • Nice-to-have: Experience using LLMs to help non-technical users self-serve analytics.

Benefits

Package Details:

  • Salary: £64,000 - £78,000.
  • We’re offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. You’ll be awarded shares when you join, which will vest over four years - and as the business grows in size and value, so will your shares!
  • We value our team’s wellbeing and belonging so we invest approx £5,000 a year on a range of perks, benefits and wellbeing activities, including regular team socials and events.
  • Other benefits include:
    • Up to 10% Company wide bonus based on company performance.
    • Hybrid working (blend of home and office working to suit individual needs).
    • £2,000 per year to spend on your professional development.
    • Private medical cover with Bupa from day one with the option to add family members.
    • Company Pension with 8% Contribution.
    • Up to 12 days a year of Period Leave.
    • Enhanced parental leave, for all new parents:
      • 6 months fully paid primary carer leave.
      • 3 months fully paid secondary carer leave.
      • 10 days fully paid leave for fertility treatment.
    • Fun co-working office space in Shoreditch, London.
    • 1 month work from anywhere, for those with a travel bug.
    • 1 day green leave to do something good for the environment.
    • Free lunch once a week - a great way to get to know people in the wider team.
    • Dog friendly office, feel free to bring your pooch along.
    • Spill: our mental health benefit allowing every Fielder access to equal and unrestricted therapy and resources.
    • Regular, optional team socials designed to be inclusive for everyone (not just the pub goers!).
    • Birthday carbon offset: a gift from Field to the world to celebrate your birthday.

A bit about Field

Field is an international builder, owner, and operator of renewable infrastructure. Founded by a successful entrepreneur, we have robust BESS project pipelines across the UK, Italy, Spain, and Germany, backed by a recent £200 million investment from DIF Capital Partners. Our mission is to grow internationally and develop a strong global BESS portfolio.

We are an eclectic team with diverse backgrounds, from scaling billion-dollar tech startups to building energy companies and specializing in energy markets. You'll work with fun, curious, entrepreneurial people making a real impact. We're proving batteries are a viable energy solution now. Our ambitious plans include becoming Europe's leading clean energy player and expanding beyond batteries into new assets.

Our Values

  • Work for the team - We are friendly and approachable. We make time for each other, value diverse perspectives, and learn and grow together.
  • Do it right - We prioritise doing things right, never cutting corners. Safety comes first, and we consider our impact on communities and the environment. We act with integrity always.
  • Move fast - We’re doers. We take responsibility, deliver on promises, and get things done. FAST.
  • Know your stuff - We’re curious self-starters, always learning, adapting, and improving. No question is too small. We own our growth.

Read more about our values at www.field.energy.

Love the sound of Field but not sure this role is right for you? Have a look at our careers page and register your CV. We are always interested in candidates who have exposure to BESS and work within the Renewable Energy space. We’d love to hear from you.

Equality, Diversity & Inclusion

Diverse teams make better teams. Field is committed to creating a diverse and inclusive environment which is as representative as possible of our society. All qualified applicants will receive consideration for employment without regard to age, disability, gender expression, marriage/civil partnership status, pregnancy/maternity status, race, nationality, religion or belief, or sexual orientation. We published a blog discussing our findings and learnings from our first Equity, Diversity and Inclusion survey in March 2023 which you can read here.

Still not convinced? See what our current team think about working here to find out why you should join us!

Software Engineer - Data employer: FIELD

Field is an exceptional employer that fosters a collaborative and inclusive work culture, where employees are encouraged to grow and innovate within the renewable energy sector. With a competitive salary package, generous benefits including hybrid working, professional development funding, and a vibrant office in Shoreditch, London, Field prioritises employee wellbeing and engagement. Join a diverse team of passionate individuals dedicated to making a real impact in the energy landscape while enjoying unique perks like a dog-friendly office and regular team socials.

FIELD

Contact Details:

FIELD Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer - Data

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We think you need these skills to ace Software Engineer - Data

Python
SQL
Data Pipeline Development
Cloud Infrastructure
Infrastructure as Code
Data Warehousing
Data Transformation

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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How to prepare for a job interview at FIELD

Brush Up on Your Statistics

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.