Data Engineer
- Ownership of project implementation to successfully deliver client solutions and services in collaboration the other team members
- Solutionizing client deliverables
- Being a key contributor in the implementation and maintenance of DataOps and governance policies, processes, and standards
- Championing data, software engineering and data security best practices and helping and mentoring the team to implement and uphold those practices
- Hands-on involvement in data integrations, warehousing, automation and related engineering tasks
- 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
- 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
- Prior experience with Martech technologies and solutions
- Experience in an agency environment while managing multiple priorities
- Experience with data science for statistical / machine learning models
- Experience productionising ML pipelines (MLOps)
- Experience with data visualisation platforms such as Looker Studio (formerly Google Data Studio)
- 25 days holiday a year
- Discretionary annual performance based incentive
- Sale commission
- Recruitment referrals bonus
- Health & Wellbeing contribution
- 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 insurance 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
- Day to make a difference
- In it together - our value on integration, collaboration and outcomes
- Eye on the future - our value on futurism, creativity and passion
- Generous in spirit - our value on people, development and inclusion
- Do what you say - our value on integrity and accountability
- Make a difference - our value on purpose and impact
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