Croud is looking for a Senior Data Engineer to join their team in London.
At Croud, we unlock potential by elevating our people, clients, and communities within a rapidly advancing and complex economy. We operate as a unique scaled network of Intelligent, Creative Specialists, enabling us to deliver superior brand outcomes.
The Senior Data Engineer position sits within the Data Engineering team and reports to the Principal Data Engineer. 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.
Responsibilities:
* Support the Principal Data Engineer in delivering robust data engineering solutions by actively engaging in technical decision-making and project execution.
* Lead project implementation efforts, collaborating closely with junior team members to ensure successful delivery of client solutions and services.
* Advocate for data, software engineering, and data security best practices, ensuring adherence across all projects.
* Provide guidance and mentorship to team members, fostering the implementation of industry best practices.
* Develop innovative solutions tailored to client needs, ensuring deliverables meet project specifications.
* Maintain clear and proactive communication with clients regarding project progress, requirements, and updates.
* Act as a key contributor in the implementation and maintenance of DataOps, governance policies, processes, and standards.
* Engage in hands-on tasks related to data integration, warehousing, automation, and other engineering functions.
* Oversee project deliveries across multiple clients, ensuring solutions achieve the highest quality standards within project constraints.
* Conduct research and development on emerging technologies, assisting both the team and clients in adopting appropriate solutions.
* Identify potential risks and develop effective mitigation plans to address them proactively.
* Contribute to new business initiatives and cross-sell proposals by providing detailed insights into implementation work and estimating time and effort required for proposed projects.
Person Specification:
* Proactive and Self-Motivated: Demonstrates initiative, is highly self-driven, and eager to take ownership of tasks and challenges.
* Technical Expertise in Python and SQL: Advanced skills in Python, SQL, and database design; experienced with SQL development frameworks such as dbt, Dataform, or similar tools.
* Cloud-Based Data Warehousing: Proficiency with cloud data warehousing technologies, particularly Google Cloud Platform (GCP) and BigQuery, or equivalent expertise in other major cloud platforms.
* Best Practices in Engineering and AI: Strong knowledge of best practices in data and software engineering, including unit testing, code quality, and maintaining clean, maintainable code.
* Clear Technical Communication: Ability to communicate technical topics effectively with both technical and non-technical stakeholders.
* Production Data Pipelines: Hands-on experience in developing and maintaining production-grade data pipelines, with a focus on serverless architectures.
* Software Productionisation: Skilled in productionising software applications, with experience using Docker.
* Infrastructure Automation: Proficiency with infrastructure automation, especially with Terraform, as well as CI/CD pipeline configuration.
Highly Desirable:
* GenAI Technologies for Data Solutions: Experience leveraging generative AI technologies to create data solutions.
* MarTech Expertise: Familiarity with marketing technology (MarTech) tools and solutions.
* Agency Experience: Prior experience in an agency setting with demonstrated ability to manage multiple priorities effectively.
* Data Science and ML Models: Experience with data science applications for statistical analysis and machine learning models.
* MLOps and ML Pipelines: Familiarity with productionizing ML pipelines (MLOps).
* Data Visualisation Platforms: Experience with data visualisation tools such as Looker Studio (formerly Google Data Studio).
Company Benefits:
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.
On completion of the three-month probation period, every employee is eligible for the benefits listed on our careers site which include:
* 25 days holiday a year
* Discretionary annual performance based incentive (up to 5% of annual base salary)
* Recruitment referrals bonus
* Flexible working options
Croud is an equal opportunity employer and does not discriminate on the grounds of a person’s gender, marital status, race, religion, colour, age, disability or sexual orientation. All candidates will be assessed based on merit, qualifications and their ability to perform the requirements of the role.
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