Data Product Engineer

CACI Limited; London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading technology consultancy in London is seeking a Data Product Specialist to improve data product refresh processes and assist in the migration from SAS to Python. This role involves working with data sets, machine learning models, and contributing to cloud migration efforts on AWS.

Qualifications

• Experience with SAS, Python, SQL and version control (ideally Git/GitLab).
• Good analytical and problem-solving skills with attention to detail.
• Understanding of Data Science/Machine Learning concepts is beneficial.

Responsibilities

• Refresh a subset of existing data products and resolve identified issues.
• Assist in the migration of data products from SAS to Python.
• Contribute to the migration of processes to AWS.

Skills

SAS

Python

SQL

analytical skills

problem-solving skills

Tools

Visual Studio Code

Power BI

Linux

Airflow

Job description

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 1200 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 Consumer & Market Intelligence and Experience & Transformation groups provide 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.

C&MI and E&T Groups help 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.

The role

The purpose of this role is:

• 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.

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.