Head of Data Engineering
London
Spendesk
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We are on a mission to liberate businesses and people to do their best work.
We are an ambitious, international team with more than 30 nationalities represented today. We believe that people do their best work when they’re given the freedom to thrive and grow. Thinking big, bringing a positive attitude, and taking full ownership are three characteristics that thread our team together. Founded in 2016 Spendesk today serves thousands of businesses in Europe and the US, and we recently raised a further €100m investment bringing our series C funding to over €200m and in the process becoming one of Europe’s latest Tech Unicorns. Our team of 350+ Spendeskers is spread across four offices in Paris, Berlin, London and San Francisco, alongside many teammates working remotely from various cities in Europe. And we're growing fast. Come join us!
Data has always been at the core of all the decisions we take at Spendesk.As we scale up our company and business, data is taking an even larger place in our day to day lives and we are looking for a Head of Data Engineering to structure and scale the Data Engineering team.
This team is responsible for the product data engineering use cases, the reporting data pipeline and visualization, the revenue data and the data infrastructure.It is currently composed of 6 people and we expect it to at least double in size within the next 12-18 months.
We expect the head of data engineering to build strong connections and partnerships with other departments at Spendesk to address the data needs across the company and build a unified data engineering roadmap aligned with the product roadmap.#remote opportunity
Benefits:
- Exciting time to join Spendesk in terms of growth and opportunities- Competitive compensation package with equity (everyone is an owner of the company!)- Flexible and remote-friendly work environment- The best equipment for your needs (Macbook Pro, secondary screen, ...)- Internal social events (hackathon, company-wide parties, offsite, ...)- Brand-new offices in the heart of Paris, Berlin & London- A purple Spendesk card (for your work purchases)!- And more!
What you can expect from the process:
1. A video call with one of our Talent Acquisition Partners to fully understand your career aspirations and answer any questions you have2. A series of videos calls with members of the team to align on what they will expect from you, and assess your technical skills and job fit3. A final video call with the Hiring Manager, Head-Of, or C-Level (CEO included) to review any remaining questions
We are an ambitious, international team with more than 30 nationalities represented today. We believe that people do their best work when they’re given the freedom to thrive and grow. Thinking big, bringing a positive attitude, and taking full ownership are three characteristics that thread our team together. Founded in 2016 Spendesk today serves thousands of businesses in Europe and the US, and we recently raised a further €100m investment bringing our series C funding to over €200m and in the process becoming one of Europe’s latest Tech Unicorns. Our team of 350+ Spendeskers is spread across four offices in Paris, Berlin, London and San Francisco, alongside many teammates working remotely from various cities in Europe. And we're growing fast. Come join us!
Data has always been at the core of all the decisions we take at Spendesk.As we scale up our company and business, data is taking an even larger place in our day to day lives and we are looking for a Head of Data Engineering to structure and scale the Data Engineering team.
This team is responsible for the product data engineering use cases, the reporting data pipeline and visualization, the revenue data and the data infrastructure.It is currently composed of 6 people and we expect it to at least double in size within the next 12-18 months.
We expect the head of data engineering to build strong connections and partnerships with other departments at Spendesk to address the data needs across the company and build a unified data engineering roadmap aligned with the product roadmap.#remote opportunity
Key Responsibilities:
- Build and own a unified roadmap for data engineering including revenue, reporting, product and machine learning use case
- Structure, scale and manage the data engineering team, composed of data engineers, data analysts and data scientists
- Maintain a strong engineering culture focusing on quality and speed, while ensuring we have excellent organisation, collaboration, and processes.
- Work closely with Product Managers to integrate the data engineering roadmap into the product roadmap
- Be responsible for the data engineering pipelines, architecture and infrastructure
Who we are looking for:
- Fluent in written and spoken English - it is our business language
- Strong management and organizational skills (at least 3 years of experience managing a data team)
- Experience building and optimizing data pipelines, architectures and infrastructure
- Strong analytical skills and experience working with unstructured data sets
- You have strong opinions but you hold them loosely and are very pragmatic in the way you make your decisions and prioritization choices
- You are strategic and think at a high level, but are also hands-on, execution-oriented, and capable of getting things done quickly
Benefits:
- Exciting time to join Spendesk in terms of growth and opportunities- Competitive compensation package with equity (everyone is an owner of the company!)- Flexible and remote-friendly work environment- The best equipment for your needs (Macbook Pro, secondary screen, ...)- Internal social events (hackathon, company-wide parties, offsite, ...)- Brand-new offices in the heart of Paris, Berlin & London- A purple Spendesk card (for your work purchases)!- And more!
What you can expect from the process:
1. A video call with one of our Talent Acquisition Partners to fully understand your career aspirations and answer any questions you have2. A series of videos calls with members of the team to align on what they will expect from you, and assess your technical skills and job fit3. A final video call with the Hiring Manager, Head-Of, or C-Level (CEO included) to review any remaining questions
Tags: Architecture Data pipelines Engineering Machine Learning Pipelines Unstructured data
Perks/benefits: Career development Competitive pay Equity Flex hours Gear Startup environment Team events
Region:
Europe
Country:
United Kingdom
Job stats:
6
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0
Categories:
Engineering Jobs
Leadership Jobs
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