About the Role
LONDON, UK (Hybrid Working - 3 days in the office per week). A benchmarked salary between £73,750 - £84,250. Your salary level is determined by skills and experience within our progression framework.
Croud is an independent global media, creative and data agency that helps businesses unlock growth through a Return on Intelligence. Our unique business model brings together in-house expertise and a global network of Intelligent Creative Specialists, enabling us to deliver smarter, more effective solutions for our clients in an increasingly complex and fast-moving marketing landscape. We work with some of the world's leading brands to drive sustainable growth, combining specialist expertise, technology and intelligence to deliver better business outcomes.
We are investing in data, technology and analytics as a strategic priority. The team brings together a number of capabilities that sit within different parts of Croud, into one unit that will drive cutting-edge development in a number of critical areas for the business. The role sits within the Data Engineering team and reports to the Head of Data Engineering. The team's remit is to drive innovation & revenue through the development & delivery of revenue-generating/client-facing data engineering solutions used across the agency.
The Senior Data and ML Engineer will be part of a growing team that delivers highly impactful data solutions across our extensive client portfolio and also the agency's own product offerings. We seek individuals who are proactive, self-starters with a meticulous eye for detail, and who can communicate clearly and effectively across our diverse internal and external stakeholders.
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.
•Championing data, software engineering and data security best practices and helping and mentoring the team to implement and uphold those practices.
•Solutioning client deliverables.
•Communicating 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.
•Overseeing 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.
•Contributing 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 proposals.
Requirements
•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 BigQuery (also open to candidates with strong comparable experience on other leading cloud platforms).
•Hands-on experience developing and maintaining production data pipelines, especially using serverless technologies.
•Strong software and infrastructure engineering practice: containerisation with Docker, infrastructure automation (preferably Terraform), and CI/CD pipelines.
•Practical data science experience building statistical and machine learning models, including feature engineering, hyperparameter tuning.
•Experience productionising ML and GenAI solutions (MLOps): deploying end-to-end model pipelines and establishing evaluation, benchmarking, and continuous monitoring frameworks.
•Experience leveraging GenAI technologies to build data solutions.
•Ability to communicate clearly and effectively on technical topics with both technical and non-technical stakeholders.
•Prior experience with Martech technologies and solutions.
•Experience in an agency environment while managing multiple priorities.
Conditions
•Croud operates a hybrid working model with a minimum of 3 days a week based in our London office and the remaining days from home if you wish.
•Croud offers a clear path to progression for all members of staff, with development opportunities alongside a support system of regular performance reviews.
•On completion of the three-month probation period, every employee is eligible for the benefits listed on our careers site, which include:
•Paid sabbatical at 7 years with an option to take it unpaid at 5 years
•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 screen
•Daily office perks: free fruit, breakfast cereals, snacks, and tea & coffee
•Weekly complimentary lunch
•Enhanced Primary and Secondary family leave as well as extended Parental Leave and Shared Family Leave
•Life insurance and income protection
•Medical Cash Plan
•Pension
•Curated 3rd party learning platform as well as access to Croud Campus (bespoke learning and development platform)
•Peer to peer recognition scheme 'bonusly'
•Team off-sites/regular socials
•Year-round holiday parties
•Flexible working options
•Day to make a difference
•Standard hours are from 9.00am to 5.30pm, with flexibility if agreed in advance with your line managers (it may also be necessary on occasions to work outside of these hours).
