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Head Of Data Engineering

Head Of Data Engineering



Head Of Data Engineering


Details of the offer

Company Description BlueOptima provides industry-leading objective metrics in software development using our proprietary Coding Effort Analytics. We enable large organisations to deliver better software, faster and at a lower cost. Founded in 2006, BlueOptima is a profitable, high-growth independent software company. Our unique technology was initially devised in seminal research carried out at Cambridge University.

We are headquartered in London with offices in Phoenix, Bangalore, Gurgaon and Guadalajara.

BlueOptima’s technology is deployed by global enterprises to drive value from their software development activities.

We work with 12 of the Fortune 50 Companies, 4 of the top 10 biggest banks by market capitalisation and 6 of the S&P 50 Companies (by revenue).

Our technology is pushing the limits of complex analytics on large data-sets with more than 98 billion static source code metric observations of software engineers working in an Enterprise software development environment.

BlueOptima is an Equal Opportunities employer.

Job Description

Whom are we looking for?

Our groundbreaking technology is built on top of billions of data points that are representative of a developer’s interaction with Source and Task tracking systems. The enormous amount of data BlueOptima processed on a daily level requires specialists to dive into the dataset, identify insights from the data points and device solutions to extend BlueOptima’s product suite.

Reporting to the CTO & working closely with the Product Management and Engineering teams, as the Head of Data Engineering you will be directly responsible for leading multiple teams of data engineers and analysts from the ideation, development and implementation of machine learning based solutions. Be a direct contributor to the organisation’s growth by delivering value to our client base directly through BlueOptima product lines.

This role would suit an ambitious Data Engineer coming from a background of either working in a fast-growth scale-up company, or someone who has worked within a large corporation who has an appetite for taking on more responsibility and autonomy and building tech & a team from scratch.

What does the role involve?

You will work closely with senior leaders in order to build and lead a team of data and technology professionals to support product requirements

Defining and delivering the strategic direction for the function to ensure client delivery and growth across the business

Identifying, hiring, developing and retaining talent for BlueOptima’s Data Engineering organisation

Lead data engineering team to define, create and maintain data processing pipelines and framework for BlueOptima’s product lines

Leveraging on internal networks to drive innovation and continuous improvement across the business

Laying out the research and development roadmap, coordinating the prioritise with the different product lines

You will be the data platform lead with full responsibility for the growth and performance of the division

Driving wide ranging projects that directly impacts the operation of large enterprise clients

Drive change management for the data analytics and ML function

Creation of novel prediction algorithms and ML models, including their productionisation

Develop and execute strategy for the Data Engineering team, influence product strategy

Work closely with different stakeholders across organization

Required Skills:

7+ years industry experience (software development / engineering), familiar with Agile development

4+ years recent experience in data engineering

Proven experience in visualisation tools, such as Tableau or Subset, with a focus and understanding of end to end best practice in providing self-serve data and dashboarding capability

Proven experience with extremely large, complex datasets in a cloud environment.

Extensive data analysis and interpretation background to critically evaluate data gathered from various sources

Experience in defining strategy, building and running teams of 20+ data engineers or data scientists

Strong analytical and engineering skills, demonstrable ability to create new machine learning models as well as engineering pipelines to implement them

Experience designing frameworks to support various models in production by scanning for issues such as data-drift

Track record of innovating to solve complex and unique business challenges

Data driven approach to development process. Ability to prioritize and focus development efforts on key areas (based on metrics)

Experience building data tools, frameworks, including dashboards

Proven ability to manage senior stakeholders and influence key decisions

Good English communication skills

Additional Information

Why Work For Us?

Above market remuneration

An options package in a fast growing self-funded business

Stimulating challenges that fully utilise your skills

Work on real-world technical problems to which solution cannot simply be found on the internet

Working alongside other passionate, talented engineers

Our fast-growing company offers the potential for rapid career progression

Source: Smartrecruiters