At a Glance
- Tasks: Design and maintain scalable data pipelines to drive analytics and product features.
- Company: Join Goodstack, a fast-growing startup revolutionising social impact through technology.
- Benefits: Enjoy flexible hours, health insurance, learning budgets, and paid volunteer days.
- Why this job: Make a real difference by powering global change with your data engineering skills.
- Qualifications: 7+ years in data engineering, expertise in SQL and Python, and experience with dbt.
- Other info: Be part of a diverse team dedicated to integrating good into everyday life.
The predicted salary is between 36000 - 60000 £ per year.
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. If you've been looking to join a fast-growing startup with a bold vision of a world where doing good is baked into everything we do, then you've found the right place! Backed by General Catalyst, the same investors behind Stripe and Airbnb, we're building something truly extraordinary!
Our Mission
Our mission at Goodstack is to revolutionise how the world does good. As a Series A social impact startup, we power global change through technology. We enable companies to seamlessly integrate positive impact into what they do through a unified platform while supporting nonprofits in gaining access to cutting-edge technology and finding new funding streams. Global brands, including Google, TikTok, LinkedIn, HSBC, OpenAI, Atlassian and Twilio - as well as thousands of nonprofits, including the Red Cross, Cancer Research, and Oxfam - use Goodstack to make a difference.
We are on a rapid growth trajectory. Just in 2024, we facilitated $3 billion in donations to good causes. But this is just the beginning. We want to become the world's leading platform that facilitates donations to the most individual nonprofits in the world. To achieve this, we need incredible people to help us on our journey - we need you.
Join us as a Senior Data Engineer at Goodstack!
- Design, build, and maintain robust, scalable data pipelines to power both analytics and product features.
- Contribute to the dbt analytics layer: establish best practices, implement core models, and ensure business metrics are consistent and trustworthy.
- Shape and maintain our data platform infrastructure (Terraform + Kubernetes), ensuring high availability, scalability, and observability.
- Lead the adoption of data quality, governance, and monitoring frameworks to build confidence in data.
- Mentor other engineers and contribute to raising the bar on engineering standards across the team.
- Partner with product managers and business stakeholders to turn data into insights and product opportunities.
- Collaborate with the engineering team to embed data flows into product architecture.
- Work alongside infra/platform engineers to design cloud-native, cost-efficient systems.
After 3 months, success will look like:
- Reduced breakages in data pipelines and the subsequent context switching.
- Be up to speed on our managed data infrastructure.
- Documented standards for data modeling, orchestration, and testing adopted by the team.
This role is a perfect match for you if you have:
- 7+ years of professional experience in data engineering.
- Deep expertise in SQL and Python, with proven experience building production-grade data pipelines.
- Hands-on experience with dbt in production environments, including modelling for analytics teams.
- Strong track record of working with infrastructure-as-code (Terraform) and container orchestration (Kubernetes).
- Familiarity with orchestration tools (Airflow, Dagster, Prefect).
- Ability to translate business problems into robust technical solutions.
Bonus if you have knowledge or love of:
- Data mesh concepts: decentralised ownership, domain-oriented pipelines, product-thinking with data.
- Streaming data systems (Kafka, Pulsar, Flink).
- Data observability, lineage, and governance tools.
- Experience scaling data teams in a startup environment.
- Passion for enabling a culture of self-serve analytics.
What you can expect upon joining our team:
- Salary reviews and share options becoming an integral part of our growth and share in the company's success.
- Goodstack's Workplace Giving.
- Vitality Plus - Private health insurance.
- £250 Brighten your day annual budget.
- £1000 Learning & development annual budget.
- Goodstack library.
- Tasty Tuesday! Office lunch is on the company.
- Slow run club (Wednesdays).
- Paid days off to volunteer for non-profit causes.
- Paid days to attend conferences.
- Paid day off on your birthday!
- 25 days annual leave, plus paid public holidays.
- Paid sick leave.
- Paid wellness leave.
- Parental leave.
- Flexible working hours.
- WFH budget upon joining.
- Pension.
- UK cycle-to-work scheme.
- Ecologi Carbon Offsetting.
About us
Since 2017, Goodstack has been at the forefront of creating a future where good will be built into everything we do. From daily commutes to weekend activities or grocery shopping, we envision a world where creating positive change is seamlessly integrated into our everyday lives. Businesses are expected to deliver on both profit and purpose and those that don't are falling behind. We're here to make it easy for any company, anywhere in the world, to integrate good into what they do.
OUR PLEDGE TO DIVERSITY, EQUITY & INCLUSION
We take pride in our diverse and growing team representing 20+ nationalities across 5 continents! Our continued expansion provides us with opportunities to embrace and celebrate different backgrounds, perspectives, and experiences, essential to our success. We actively seek and welcome applicants from all walks of life, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. A team that represents the world that we are trying to support is a wiser, more knowledgeable and stronger one. We're excited for you to bring your experience, yourself and your special lemon twist to Goodstack to propel us forward in striving to create a better world for us all.
Senior Data Engineer in City of London employer: Goodstack
Contact Detail:
Goodstack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for those interviews! Research the company and its mission, especially how they integrate good into their work. Show them you’re not just another candidate, but someone who truly aligns with their values.
✨Tip Number 3
Don’t forget to showcase your skills! Bring examples of your past projects, especially those involving data pipelines and analytics. Let your work speak for itself!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission at Goodstack.
We think you need these skills to ace Senior Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, Python, and any relevant tools like dbt or Terraform. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to Goodstack's vision of making a positive impact. Let us know why you're excited about this opportunity!
Showcase Your Projects: If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build robust data pipelines and solve business problems. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly 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 to join our team at Goodstack!
How to prepare for a job interview at Goodstack
✨Know Your Data Inside Out
As a Senior Data Engineer, you’ll need to showcase your deep expertise in SQL and Python. Brush up on your knowledge of building production-grade data pipelines and be ready to discuss specific projects where you've implemented these skills.
✨Familiarise Yourself with the Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like dbt, Terraform, and Kubernetes. Prepare to talk about your hands-on experience with these technologies and how you've used them to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Be prepared to translate business problems into technical solutions. Think of examples where you’ve successfully partnered with product managers or stakeholders to turn data into actionable insights, and be ready to share those stories.
✨Emphasise Mentorship and Team Collaboration
Goodstack values collaboration and mentorship. Highlight any experiences where you’ve mentored other engineers or contributed to raising engineering standards. This will show that you’re not just a great engineer but also a team player who can help elevate the whole team.