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 Consultant Data Engineer at Datasparq can expect to…

• Move valuable data analysis and data science prototypes to operational business processes
• Deliver engaging technical demonstrations / ideas to both clients and our team
• Provision cloud infrastructure via IaC (infrastructure as code), providing a stable base for data engineering & science software to execute
• Develop data transformations + logical rulesets on a variety of data types and sizes -  utilising a mixture of techniques e.g. MPP (massive parallel processing), SQL, Python and more
• Use a large range of cloud computing products (typically within Azure and GCP),  evaluating newly available technologies on the job
• Demonstrate effective interpersonal skills through good co-working habits
• Improve and maintain our internal and external data products, including our proprietary open-source technology
• Work within a client’s cloud environment, working closely with IT and engineers from their organisation
• Be responsible for live AI and data services, on which our clients depend for business-critical operations
• Create a range of interfaces for data processes, including: APIs,  integration with third-party products, user interfaces (typically web) and more
• Mentor and lead junior members of the engineering team, promoting a learning culture

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.

• Strong Python and SQL skills
• Knowledge of Git, and Agile
• Effective communication skills. Ability to demonstrate to a mixture of technical and non-technical audiences
• Desire to learn new data development practises utilising Datasparq toolset (e.g. Python, Git, Docker, Terraform, cloud infrastructure providers and more)
• Experience in using code to perform data analysis, automation, or data transformation
• Able to self-manage and complete tasks given appropriate guidance and direction
• Collaborates with clients on delivery, and is comfortable presenting to clients
• Looks to support colleagues in projects (not necessarily ones they are working in) which better enable those colleagues to be effective
• Constantly develop technical skills using the latest cloud technology - achieving & maintaining relevant certifications

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.