Often a highly successful business hasn’t required an integrated data engineering approach to get them to where they are. They grow, become profitable and experience success without giving a thought to how they can either utilise or improve the efficiency of the ridiculous amount of data they have available to them.
In a nutshell, they don’t see their lack of data engineering as a problem.
The truly forward-thinking companies, however, recognise that amazing growth opportunities can be realised without hiring any more people, opening more offices or pushing their sales people to sell harder. They commit to finding greater insight in what they already do, and to improve what they already do using these insights to guide new processes and facilitate improvements across the business.
That’s where this company is. They are a highly successful business who provide unique psychology-based consultancy and software services to some of the most high profile companies in the world.
You’re at a point in your career where you know the value and insight you can bring to such a company, where you will excel in a role where you aren’t expected to only deliver quick-wins, but can focus on building an approach to data engineering from the ground upwards, with personal backing from the most senior technology leader within the business.
The CTO is a visionary and is pushing hard to increase the capabilities within the engineering team, and this is a key hire he is taking responsibility for himself. The vision is to eventually have a data engineering team of 3, with a Senior / Lead Engineer and two Data Engineers.
At this point the preference is to hire the Senior Data Engineer, with a view to develop them into a Head of Data Engineering. The initial focus will be on understanding the business and data requirements, and implementing technologies, data pipelines, data stores and processes to support their data science and data product ambitions. You will work closely with various non-tech stakeholders, as well as the product development team to drive data innovation and help create a long-term data technology plan.
A significant focus of the role is on R&D, looking into data infrastructure technologies and end-user tools focused on visualisation and reporting capabilities. As the data engineering function matures, you will also play a key role in hiring and mentoring other data engineers, embedding data engineering best practice within the team.
You will possess a track record of innovation and continuous improvement within data engineering, along with proven experience in data engineering tools, including open-source technologies, Python and SQL, along with other related scripting languages.
You will have delivered solutions built on cloud data warehousing products, such as Snowflake, Redshift, Synapse, and will have a thorough understanding of using modelling methods such as Kimball and/or Inmon.
If this role sounds great, but you feel you are more a mid-level rather than Senior/Lead Data Engineer, please apply anyway as the CTO could be open to hiring multiple people.
The role is offered on a largely remote basis, with occasional travel into Birmingham or London (less than once a month on average).
The salary on offer is up to £75k + share scheme + 25 days holiday + 5% pension.
Please apply or call for a confidential chat to see if this could be the right move for you.