About the Role:
As a Data Engineer, you will play a critical role in designing and developing data pipelines, ensuring data integrity, and enabling data-driven decision-making. The ideal candidate will have a strong background in data engineering and analytics, with expertise in Google Cloud Platform (GCP) services. This role requires a blend of technical proficiency, analytical thinking, effective project & time management, and communication skills. You will have the opportunity to engage in diverse, innovative projects spanning multiple platforms, including real-time data processing and emerging AI technologies, offering opportunities to work with cutting-edge tools and methodologies in the rapidly evolving field of data analytics.
About the Company:
Part of The Brandtech Group, fifty-five is a data company helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention.
Headquartered in Paris with offices in London, Hong Kong, New York and Shanghai, fifty-five is a certified Google Partner company and was named by Deloitte as one of the fastest-growing tech firms in Europe, thanks to its unique technology approach combining talent with software and service expertise.
Tasks & Responsibilities:
- Design, develop, and maintain scalable data pipelines on GCP using services such as BigQuery and Cloud Functions.
- Collaborate with internal consulting and client teams to understand data requirements and deliver data solutions that meet business needs.
- Implement data transformation and processing logic to ensure high-quality, reliable data is available for analysis and reporting.
- Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal impact on business operations.
- Autonomously deliver on projects, demonstrating proactive leadership and taking full ownership of technical outcomes to ensure project success.
- Effectively engage with clients at all levels, translating complex technical concepts into clear, actionable insights and maintaining strong relationships throughout project lifecycles.
- Develop and deliver comprehensive training on data engineering principles, GCP services, and analytics tools to both clients and internal consulting teams.
Skills and Experience:
Technical Proficiency:
- Excellent SQL skills.
- Proficient in Python.
- Experience with cloud platforms (GCP preferred, AWS or Azure also acceptable).
- Familiarity with version control systems (Git).
- Ability to extract, transform, and analyze data efficiently.
- Expertise in designing and building robust data pipelines.
- Strong focus on data quality, including QA processes and testing.
Soft Skills:
- Analytical mindset with excellent problem-solving abilities.
- High attention to detail.
- Strong project management skills, capable of independently delivering projects.
- Excellent client-facing communication skills.
Nice to Have:
- Knowledge of dbt, Airflow, and CI/CD pipelines.
- Experience with dashboard solutions such as Looker, PowerBI, etc.
- Experience with marketing platforms and understanding of marketing data.
- Pre-sales scoping experience and the ability to contribute to the sales process.
If this sounds like you, please get in touch! We look forward to meeting you.
In return, we are pleased to offer you the following benefits:
- Being part of a multicultural, dynamic and fast-growing team
- Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by recurring training sessions)
- Phone allowance
- Private medical coverage through AXA
- Transport for London monthly travel card allowance
- The flexibility to work remotely for part of the week
- 25 days holiday per year, in addition to UK bank and public holidays
- Company pension plan
- Company-sponsored sporting and social activities
- Monthly Codecademy subscription - reimbursable upon completion of chosen training path
fifty-five encourages diversity and is committed to guaranteeing equal treatment of all applications, regardless of gender, age, origin, sexual orientation, state of health or political or religious opinion.
