Data Enginer

Data Enginer

Full-Time 70000 - 90000 £ / year (est.) No home office possible
Inara

At a Glance

  • Tasks: Build and maintain data pipelines that drive real-world impact.
  • Company: Mission-driven NGO focused on tech for good.
  • Benefits: Competitive salary, generous holiday, pension contributions, and professional development support.
  • Other info: Join a fast-growing team with creative freedom and excellent career growth opportunities.
  • Why this job: Make a tangible difference while working with diverse datasets in a dynamic environment.
  • Qualifications: 2+ years as a Data Engineer, strong Python and SQL skills.

The predicted salary is between 70000 - 90000 £ per year.

Location: London, near London Bridge (5 days per week on-site)

Industry: NGO, Tech for Good

Salary: £70,000 - £90,000 (potentially some wiggle room)

Confidentiality: NDA required before client details can be shared

About the opportunity

This is a genuinely rare opportunity. This is a mission-driven, not-for-profit working on real-world intelligence and research challenges that have direct, tangible impact. The kind of role where you go home knowing what you built actually matters.

The team is growing fast. You’ll be joining a small but high-calibre Data, Tools, and Technical Tradecraft function that operates like a miniature start-up within a serious analytical organisation. Engineers here are given genuine creative liberty; you’ll be expected to own features, propose new approaches, and help shape how the organisation exploits its growing data estate.

They work across large and varied datasets textual, geospatial, structured and unstructured powering a research team that is expanding rapidly. It’s technically interesting, socially meaningful, and about as far from a maintenance job as you can get.

The role

You’ll report directly into the Technical Tradecraft Lead and work closely with the Machine Learning Engineer to navigate new and unknown data sources, incorporate them into the organisation's Knowledge Base, and build the pipelines that make it all work. You’ll be the primary point of understanding for a growing and diverse data collection that underpins the entire mission.

Key responsibilities

  • Understand, maintain and improve existing cloud-based pipelines and infrastructure
  • Build ad-hoc ingestion pipelines for structured data to reasonable turnaround times
  • Contribute to the technology strategy of the organisation
  • Support the research team in identifying, obtaining, and analysing data for investigations
  • Collaborate with the ML Engineer to model and incorporate new data sources

What we’re looking for

Essential

  • 2+ years of experience as a Data Engineer or similar role, building and maintaining data pipelines at scale
  • Strong Python skills, including familiarity with common data science libraries (NumPy, Pandas, Polars, etc.)
  • Experience with cloud-native system design GCP and BigQuery strongly preferred
  • Solid grasp of data structures and algorithms, including graph theory
  • Proficiency in SQL, including analysis and optimisation of large-scale queries
  • Motivated by both technical challenge and real-world social impact

Nice to have

  • Degree in Computer Science, Mathematics, Engineering, or a related technical field
  • Experience with Infrastructure as Code (Terraform, OpenTofu)
  • DataOps and CI/CD pipeline design - especially with dbt or SQLMesh
  • Experience with Kubernetes, Airflow or Prefect
  • Experience deploying on-premises infrastructure
  • Exposure to geospatial, NLP, image processing, signals or financial data
  • Experience working in or alongside blended analyst teams

Benefits

  • £70,000 - £90,000 per annum
  • 5% employee / 6% employer pension contribution
  • 23 days holiday + 8 bank holidays + Christmas shutdown (outside of holiday allowance)
  • Enhanced maternity pay and occupational sick pay (4 weeks full pay)
  • Professional development support

How to apply

This role is being recruited exclusively through Inara Talent. Due to the sensitive nature of the organisation's work, a mutual NDA will be required before full company details are shared. This will be arranged during our initial screening call.

If this sounds like the kind of role you’ve been waiting for, get in touch. We’d love to tell you more.

At Inara Talent, we believe everyone deserves a fair chance to shine. We connect great people from all backgrounds with opportunities where they can thrive making sure hiring is fair, inclusive, and genuinely diverse. No matter your background, we focus on what matters: your talent.

Data Enginer employer: Inara

Join a mission-driven NGO located near London Bridge, where your work as a Data Engineer will have a direct and meaningful impact on real-world challenges. With a dynamic start-up culture within a serious analytical environment, you'll enjoy creative freedom, professional development support, and a generous benefits package including enhanced maternity pay and a robust pension scheme. This is an exceptional opportunity to grow your skills while contributing to socially significant projects in a collaborative and inclusive team.
Inara

Contact Detail:

Inara Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Enginer

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those already working at NGOs or tech for good organisations. A friendly chat can lead to insider info and maybe even a referral!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, let your work speak for itself and demonstrate how you can make an impact.

✨Tip Number 3

Prepare for the interview by understanding the organisation's mission. Be ready to discuss how your technical skills can contribute to their goals. It’s all about showing that you care about the cause as much as the code!

✨Tip Number 4

Apply through our website! We’ve got your back and want to help you land that dream job. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace Data Enginer

Data Pipeline Development
Python
Data Science Libraries (NumPy, Pandas, Polars)
Cloud-Native System Design (GCP, BigQuery)
Data Structures and Algorithms
SQL
Infrastructure as Code (Terraform, OpenTofu)
DataOps
CI/CD Pipeline Design (dbt, SQLMesh)
Kubernetes
Airflow
Prefect
Geospatial Data Processing
Natural Language Processing (NLP)
Image Processing

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, cloud systems, and any relevant projects that showcase your skills. We want to see how you can contribute to our mission-driven work!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for tech for good and how your background aligns with our values. Let us know why you're excited about this opportunity and how you can make a difference.

Showcase Your Technical Skills: Be specific about your technical skills in Python, SQL, and cloud-native design. Mention any tools or libraries you've used, especially those listed in the job description. We love seeing concrete examples of your work!

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 this amazing opportunity. We can't wait to hear from you!

How to prepare for a job interview at Inara

✨Know Your Data

Before the interview, brush up on your understanding of data structures and algorithms, especially graph theory. Be ready to discuss how you've applied these concepts in your previous roles, particularly in building and maintaining data pipelines.

✨Showcase Your Python Skills

Make sure you can confidently talk about your experience with Python and its data science libraries like NumPy and Pandas. Prepare examples of projects where you've used these tools to solve real-world problems, as this will demonstrate your technical prowess.

✨Familiarise Yourself with Cloud Technologies

Since the role involves cloud-based systems, it’s crucial to understand GCP and BigQuery. Be prepared to discuss any relevant experience you have with cloud-native system design and how you've contributed to technology strategies in past positions.

✨Emphasise Your Social Impact Motivation

This organisation is mission-driven, so express your passion for using technology to make a difference. Share specific examples of how your work has had a tangible impact, and why you're excited about contributing to a cause that matters.

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