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Data Services Group - Data Product Engineer

Kensington, London, UK Req #769
17 June 2024

Headquartered in London, CACI Ltd is a wholly owned subsidiary of CACI International Inc., a publicly listed company on the NYSE with annual revenue in excess of US $6.2bn and employing approx. 22,000 people worldwide.

CACI Ltd is an international data and technology consultancy with £154m turnover and 1100 employees. We are passionate, progressive and unafraid of challenge; our mission is to use technology and data-driven insight to make a commercial difference.

We provide expert advice and hands-on system management to help our national and global clients get the most from technology and data. We use innovation wisely to deliver well thought-out digital solutions and software. 

CACI's Marketing Solutions Division provides data, software and consulting services to improve our clients’ sales and marketing programmes.

We help clients find, retain and grow profitable customers through our understanding of consumer characteristics and behaviour. And we help commercial property developers and retailers plan retail provision in the UK and overseas.

MSD helps clients shape the vision, define the strategy and deliver a truly integrated customer experience. Our services are based on in-depth understanding of individual consumer behaviour and marketing technology which influence the way consumers buy products and services through a combination of data, technology and consultancy.

CACI is looking for a Data Product Engineer within the Data Products and Innovation team who will help improve the existing data product refresh processes and mitigate data products.

Who we are:

At CACI we do amazing things with data. We are experts in all things consumer and location, bringing together cutting-edge analytical techniques, creative thinking and diverse perspectives to drive growth for our clients. We build some of the most highly regarded, innovative datasets in the market and our people are the best at manipulating that data to provide insight to our clients. As part of the wider Marketing Solutions Division you will be joining a 250 strong team working in over 50 markets globally.


Our people are what really make us different. We are a growing and dynamic group of analysts, data scientists and commercially savvy business development consultants who also provide thought leadership and creative thinking. We are passionate, progressive and unafraid of challenge; our mission is to use data-driven insight to make a commercial difference.



The role

The purpose of this role is:

  • Perform regular data product refreshes
  • Help improve the existing data product refresh processes
  • Help the migration of data products
    • From SAS to Python
    • From on-premises to AWS

Key Responsibilities

  • Follow existing workflows to refresh a subset of our existing data products
    • Refresh existing internal and external input data sets, often sourced from surveys
    • Source control figures from both industry and government sources
    • Re-fit ML models on the latest data
    • Follow QA processes throughout
    • Produce updated documentation such as Process Documentation, Release Notes and Technical Guides
    • Upload deliverables (outputs and documentation) to both internal and AWS resources
  • Resolve any identified issues with the existing products and/or refresh processes
  • Look for opportunities to improve the product refresh process, particularly greater use of automation
    • The existing data products comprise extensive use of SAS, csv, some use of SQL, Excel and increasing use of Python
    • There are also extensive dependencies between the products, which means that evolution of the products must be done with careful planning
    • There is currently significant manual involvement during the processes, which we are seeking to reduce where possible
  • Assist in the migration of the data products from SAS to Python
    • Most of our code base is in SAS
    • Going forward, major redevelopments of our products will take place in Python
  • Contribute ideas to assist the migration of on-premises product processes to AWS
    • We are in the early stages of migrating our products and update processes to AWS; and any experience to inform the migration is welcome



Skills and Experience

  • Experience with SAS, Python, SQL, version control, ideally Git/GitLab and running in-production data product updates
  • Good analytical and problem-solving skills, attention to detail and a focus on standardisation and delivery
  • It would be advantageous, but not essential, to have experience with any of the following tools: Visual Studio Code, Power BI, Linux, Airflow.
  • An appreciation of the main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis.


What we can offer you:

We don’t settle for people that can just do the job, we look for people that are constantly trying to push the boundaries and improve what we do. This is what makes CACI a great team to be a part of.

Innovation is hugely important to us and we guarantee everybody in the business gets to spend 5% of their time innovating and training. If you are an innovative thinker and like to challenge the norm, coming up with new ways of doing things, then you will be surrounded by likeminded people at CACI.


We understand that your career progression is important to you. Unlike many organisations, promotions happen twice a year at CACI. This gives you more opportunity to progress. At CACI people get promoted on merit, when they are ready. This means that your career is completely in your own hands and there is never a ceiling for your progress.

Everyone’s career path is different. We welcome people exploring different areas and trying out new skillsets. Just because you start off down one path doesn’t mean you are committed to it indefinitely. At CACI you have the freedom to carve your own career path.


The key to our success is our teamwork and collaboration and that tends to work best when we are all in the office working together. That said, we fully appreciate that everyone leads busy lives and we can’t always be in the office. This is why we embrace flexible working. Covid-19 has changed the way we work forever, and employees are currently expected to work from the office at least two days a week.


Your development is key and is a top priority for the team. We offer 3 types of training: externally run consulting courses, externally run bespoke courses and internal courses. Everyone has different training requirements which means everyone has their own training plan. A bespoke training plan will be created for you when you join.


We have a range of benefits on offer to support you. We have a comprehensive list of schemes ranging from pension plans, to health and wellness policies, in addition you can opt into a selection of flexible benefits to meet your personal needs.

  • Competitive salary
  • Pension contributions up to 5% (matched by employee and employer)
  • Life Insurance
  • Personal Accident Insurance
  • Private Health Insurance from 2nd anniversary
  • Sickness & Disability income protection from 3rd anniversary
  • On site gym membership
  • Hybrid work scheme


We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 

Successful candidates must have the right to work in the UK.


Other details

  • Pay Type Salary
Location on Google Maps
  • Kensington, London, UK