Data Engineer | Python | ETL | Spark | Databases | Snowflake | AWS | Hybrid, London
Data Engineer | Python | ETL | Spark | Databases | Snowflake | AWS | Hybrid, London
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Founder @ Enigma | Creator of Vision to Venture Podcast & The Neural Network Community
Data Engineer | Python | ETL | Spark | Databases | Snowflake | AWS | Hybrid, London
Overview
Today’s internet is misaligned with its users. At best one-size-fits-all and static, it’s at worst
adversarial. We’re building AI-powered tools to create new digital experiences that are
fundamentally aligned with each person’s goals, needs, and values. In this new human-aligned
internet, generative user interfaces will augment our capacity for discovery, understanding, and
expression by learning from and responding to users in real time.
We’re powering these experiences with our bespoke foundation model, enabling intelligent,
highly personalized user experiences for every piece of software on the planet, while ensuring
full transparency and user control.
Founded by a world-class team (ex-DeepMind / Oxford / UCL), we’re well funded and rapidly
scaling our modeling efforts and product deployments.
Headquartered in London, we’re seeking brilliant, ambitious individuals who share our vision of
transforming user interfaces into adaptive, intuitive, and empowering experiences. We’re
looking for self-starters who can define and own their lanes in a fast-paced, high-growth
Role Summary
We’re looking for a talented Software Engineer to manage every aspect of our data pipeline. This
will mean helping to design, build and maintain the infrastructure needed for collecting,
cleaning and managing extremely large volumes of data from diverse sources. Data is an
essential part of our tech stack, so your work will directly impact model training and product
performance. As an early hire, you will also be instrumental in building out the data team as the
business grows - we will be growing quickly.
Responsibilities
• Design, develop, and maintain scalable data pipelines and ETL processes.
• Collaborate with both data providers (our enterprise customers) and consumers (our
model training team) to understand needs and deliver solutions.
• Implement data cleaning pipelines that interact with model training.
• Ensure data integrity, quality, and security.
• Develop and implement data warehousing and data lake solutions.
• Contribute to the development of data governance policies and procedures.
• Degree in Computer Science, Engineering, or a related field.
• 3+ experience as a Software Engineer with a strong focus on Data work.
• Strong proficiency in leading big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
Bonus
• Experience working across the complete data stack.
• Experience in and appetite for working in small, rapidly growing companies or projects.
What We Offer
• Enormous opportunities to define and own your lane.
• Strong preference for full-time in-person in our beautiful office in London.
• Competitive salary (cash + equity) applies.
Data Engineer | Python | ETL | Spark | Databases | Snowflake | AWS | Hybrid, London
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Staffing and Recruiting
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