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Data Engineer
Data Engineer
Data Engineer
Posted 4 days ago
- London, Greater London
- Any
- External
Position:
Data Engineer
Location:
Remote work with occasional (twice per month) office presence in London or Leicester.
Role Overview:
You will join a dynamic and expanding Data Engineering team with a primary focus on designing, building, enhancing, and optimising a cloud-based data warehouse.
Candidate Profile:
We are looking for someone who is honest, demonstrates integrity, and is self-directed in their approach to work. The ideal candidate is not afraid to voice improvements, sees challenges as opportunities, and is capable of leading and mentoring a diverse team of engineers.
Key Qualifications:
Experience:
Strong background in cloud data warehousing with expertise in Kimball Data Modelling techniques to create robust and high-quality data products.
Technical Skills:
Proficiency in Snowflake and cloud infrastructure (e.g., AWS) to design and understand data platforms. Experience with infrastructure as code, following DevOps best practices, and developing high-quality code in Python/DBT/SQL is highly desirable.
Future Focus:
A long-term commitment to advancing the business's data products, including potential applications in machine learning and artificial intelligence.
Responsibilities:
Collaborate with passionate professionals who are dedicated to maximising the potential of data and technology.
Work with leading cloud and data technologies (e.g., DBT, Snowflake, AWS) to develop data products throughout their lifecycle.
Tackle complex datasets to solve both foundational and advanced business problems.
Contribute to a business that values your input, offering competitive compensation and a clear personal development plan to support your career growth.
Participate in the development of a data-driven business environment, with significant investment in technology, platforms, and people.
Ideal Candidate:
Extensive experience in Data Warehousing and Kimball Data Modelling.
Proven ability to create high-quality data products through collaboration with engineers, technologists, and stakeholders.
A supportive teammate with innovative ideas and a commitment to helping others.
Inquisitive and curious, with a passion for solving problems using technology and data.
Enthusiastic about the potential of technology and data, and the benefits of getting it right.
Data Engineer
Location:
Remote work with occasional (twice per month) office presence in London or Leicester.
Role Overview:
You will join a dynamic and expanding Data Engineering team with a primary focus on designing, building, enhancing, and optimising a cloud-based data warehouse.
Candidate Profile:
We are looking for someone who is honest, demonstrates integrity, and is self-directed in their approach to work. The ideal candidate is not afraid to voice improvements, sees challenges as opportunities, and is capable of leading and mentoring a diverse team of engineers.
Key Qualifications:
Experience:
Strong background in cloud data warehousing with expertise in Kimball Data Modelling techniques to create robust and high-quality data products.
Technical Skills:
Proficiency in Snowflake and cloud infrastructure (e.g., AWS) to design and understand data platforms. Experience with infrastructure as code, following DevOps best practices, and developing high-quality code in Python/DBT/SQL is highly desirable.
Future Focus:
A long-term commitment to advancing the business's data products, including potential applications in machine learning and artificial intelligence.
Responsibilities:
Collaborate with passionate professionals who are dedicated to maximising the potential of data and technology.
Work with leading cloud and data technologies (e.g., DBT, Snowflake, AWS) to develop data products throughout their lifecycle.
Tackle complex datasets to solve both foundational and advanced business problems.
Contribute to a business that values your input, offering competitive compensation and a clear personal development plan to support your career growth.
Participate in the development of a data-driven business environment, with significant investment in technology, platforms, and people.
Ideal Candidate:
Extensive experience in Data Warehousing and Kimball Data Modelling.
Proven ability to create high-quality data products through collaboration with engineers, technologists, and stakeholders.
A supportive teammate with innovative ideas and a commitment to helping others.
Inquisitive and curious, with a passion for solving problems using technology and data.
Enthusiastic about the potential of technology and data, and the benefits of getting it right.