About the role

Senior Data Engineer at a global digital marketing agency, delivering impactful data solutions across client portfolios and driving innovation in data engineering practices.

Responsibilities

Support the Head of Data Engineering in delivering data engineering solutions by actively contributing to technical decision-making and execution
Ownership of project implementation to successfully deliver client solutions and services in collaboration with junior team members
Champion data, software engineering and data security best practices and helping and mentoring the team to implement and uphold those practices
Solutionising client deliverables
Communicate effectively with clients to discuss project progress and details as required
Being a key contributor in the implementation and maintenance of DataOps and governance policies, processes, and standards
Hands-on involvement in data integrations, warehousing, automation and related engineering tasks
Oversee the deliveries across multiple clients and assuring that the solutions meet the highest quality achievable within the project constraints
Research and Development on the possible technologies and help the team and clients adopt those where appropriate
Highlight risks and produce effective mitigation plans to address them
Contribute to new business and cross-sell proposals, especially with details about the implementation work in proposed projects, and with estimations of the time and effort needed, which will contribute to the commercial element of a proposals

Proactive and self-motivated individual, keen to take initiative
Excellent Python, SQL, and database design skills, with proficiency in dbt/Dataform or similar SQL development frameworks
Proficient with cloud-based modern data warehousing technologies, particularly GCP and related technologies, especially BigQuery ( we are also open to considering candidates with strong comparable experience on other leading cloud platforms )
Strong understanding of best practices and trends in data, software engineering and AI, including unit testing and producing clean, maintainable code
An ability to communicate clearly and effectively on technical topics with varied types of technical and non-technical stakeholders
Hands-on experience with the development and maintenance of production data pipelines, especially using serverless technologies
Productionising software applications, experience with Docker
Infrastructure automation, preferably with Terraform, CI/CD pipelines
Experience leveraging GenAI technologies for data solutions
Highly Desirable: Prior experience with Martech technologies and solutions
Experience productionising Machine Learning solutions (MLOps)
Experience in an agency environment while managing multiple priorities
Desirable: Experience with data science for statistical / machine learning models
Experience with data visualisation platforms such as Looker Studio

25 days holiday a year
Discretionary annual performance based incentive
Sale commission
Recruitment referrals bonus
Health & Wellbeing contribution
2 Recharge Days each holiday year
Ride to Work scheme
Railcard Season Ticket loan
Home office chair and home office screen
Free fruit, breakfast cereals, snacks and tea & coffee in the office
Enhanced Primary and Secondary family leave as well as extended Parental Leave and Shared Family Leave
Life assurance and income protection
Medical Cash Plan
Pension
Curated 3rd party learning platform as well as access to Croud Campus (our bespoke learning and development platform)
IPA Membership
Peer to peer recognition scheme 'bonusly'
Team off-sites/regular socials
Year-round holiday parties
Flexible working options
Standard hours are from 9.00am to 5.30pm, there’s flexibility if agreed in advance with your line managers (it may also be necessary on occasions to work outside of these hours).