At Datasparq, we put our people first. After all, it's our people that make our business special.
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At Datasparq, we work a little differently with our recruitment. If you have a great track record, then we want to help you get onboard with us. We will tell you what we’re looking for; we will give you guidance on how to make the most of your application during the process. We want you to succeed in getting the role and then we want to help you to excel in the role itself. We want to help you develop your career; get into new areas of engineering; help you inspire others to success; and develop impact from landed data projects. We want you to bring your teammates with you on that journey so we all get to benefit from the joint endeavour. Most of all we want you to enjoy what you do and further enthuse the team with that enjoyment!
A Senior Data Engineer (Managed Services) at Datasparq can expect to...
You will also have the opportunity to contribute to our pre-product phase. Helping shape and define the data processes and products we build for our customers. Ensuring that our projects and services have the best possible chance of success.
This is a role for ambitious technologists who wish to work with the latest cloud technology from Azure, GCP and open source. Whilst we don’t expect everyone to have complete experience with all the technologies below, candidates will need to show their ability to rapidly learn new technologies
Datasparq is a boutique AI & data firm that solves complex business challenges.
We build bespoke AI and data science tools—and turn them into robust, reliable services for our clients.
We start with research and iterate—using lean startup principles—to quickly uncover impactful solutions to high-value challenges. Our product team ensure that we build the right solution in the right way. Our data science team ensure that the AI and data science solutions we build are best-in-class. And, our engineering team ensure that solutions are robust and ready to be deployed in the real world.
But—what’s special about Datasparq is the way our teams work together.
Just as no business challenge fits neatly into a box, neither do our people. Rather than simply hiring a data scientist or a data engineer, we seek out passionate experts who can bring a range of overlapping skills to any team. That gives us the ability to build the perfect team to solve any challenge. We believe in bespoke over one-size-fits-all.
We don’t just build ML models—we take our science from the broad spectrum of mathematics, statistics, operations research and computer science. We work with academic partners and Centres for Doctoral Training (CDTs) across the UK to ensure that what we do is founded on high-quality, up-to-date science.
When it comes to operationalising solutions, we can run data science products in the cloud as services for our clients—or deploy to their infrastructure as needed.
Diversity & ethics
As a company, we don’t just value diversity—we place it at the heart of what we do. To create solutions that serve our users—and our clients' users—diversity is a must, not a nice to have. Likewise, we place ethics at the heart of what we do. Our team are passionate about working on projects that drive positive results for people and the planet. We routinely undertake ethics reviews and champion a culture of openness, honesty and integrity.
Datasparq employees get these perks as standard.
The option to join our company healthcare plan
Varied, lively socials every last Thursday of the month
Weekly (at least!) data science & engineering seminars
Work from our London office or at home
Regular ethics reviews to make sure our work is meaningful
We have diversity, inclusion & wellbeing goals in our KPIs
...with the option to buy 5 extra days
Vibrant startup culture; annual entrepreneurship competition
Developing our own tools like Houston and Xu