Senior Data Engineer (UK)
Hybrid- London, UK
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Listed location: Hybrid- London, UK
Read the full posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign, build and maintain data pipelines, warehouse models and analytics solutions
Build natural language interfaces to data using GenAI and LLM techniques
Set standards for SQL, data modeling, testing, documentation and code reviews
Support production data pipelines through on-call rotation and incident response
Evaluate new technologies to improve the data platform and stack
From the employer’s posting
Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions
Build and maintain natural language interfaces to data and analytics, applying GenAI/LLM techniques
Establish and follow standards for SQL development, data modeling, testing, documentation, code reviews, and production support.
Support production data pipelines through on-call rotation and incident response
Continuously evaluate new technologies that could improve and scale the team's data platform and technology stack.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science or related field, or equivalent professional experience.
- 8+ years building reliable, high-performance, large-scale distributed systems, with an emphasis on streaming and data pipelines.
- Experience working with and maintaining multi-tenant SaaS experiences.
- Experience building natural language interfaces over data warehouses, including applying GenAI/LLM techniques to data and analytics.
- Expertise writing, optimizing, and analyzing SQL.
- Hands-on experience building and operating distributed data platforms on AWS or GCP.
Preferred experience
- Experience with Cube or other semantic layers.
- Experience with scheduling tools such as Airflow.
- Familiarity with the BI tool Metabase.
- Proficiency in Ruby on Rails, React, or other adjacent languages.
Qualification wording
Bachelor's degree in Computer Science or related field, or equivalent professional experience.
8+ years building reliable, high-performance, large-scale distributed systems, with an emphasis on streaming and data pipelines.
Experience working with and maintaining multi-tenant SaaS experiences.
Experience building natural language interfaces over data warehouses, including applying GenAI/LLM techniques to data and analytics.
Expertise writing, optimizing, and analyzing SQL.
Hands-on experience building and operating distributed data platforms on AWS or GCP.
Experience with Cube or other semantic layers.
Experience with scheduling tools such as Airflow.
Familiarity with the BI tool Metabase.
Proficiency in Ruby on Rails, React, or other adjacent languages.
Education & alternatives
Minimum Qualifications - Bachelor's degree in Computer Science or related field, or equivalent professional experience. - 8+ years building reliable, high-performance, large-scale distributed systems, with an emphasis on streaming and data pipelines.
Tools in this posting
- Python
- Ruby
- SQL
- AWS
- Databricks
- GCP
- Kafka
- Metabase
- Redshift
- Snowflake
- Spark
- Trino
- Airflow
Source — Tool mentions in context
- Experience scaling data modeling and warehousing. - Proficiency in python. Preferred Qualifications
- Familiarity with the BI tool Metabase. - Proficiency in Ruby on Rails, React, or other adjacent languages. Why Firstup?
Joining Firstup means joining a movement to make work better for every worker. As the world’s first intelligent communication platform, Firstup meaningfully engages employees at every moment from hire to retire, and delivers engagement insights to help companies support, promote and retain their talent. Our movement has taken root and is evident in our world-class customer base. Now we need your help. Ready to make a difference in the world? The Senior Data Engineer will design and build reliable data solutions that translate complex product and business logic into scalable, well-tested data models and pipelines. This role requires deep expertise in SQL, query acceleration, and applying GenAI to both engineering workflows and data/analytics interfaces. They will partner across engineering, analytics, and business teams, contribute to shared codebases, improve data quality and observability, and help evolve the data architecture. Responsibilities
- Continuously evaluate new technologies that could improve and scale the team's data platform and technology stack. - Establish and follow standards for SQL development, data modeling, testing, documentation, code reviews, and production support. - Support production data pipelines through on-call rotation and incident response, partnering with engineering, analytics, and business teams.
- Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino. - Expertise writing, optimizing, and analyzing SQL. - Hands-on experience building and operating distributed data platforms on AWS or GCP.
- Expertise writing, optimizing, and analyzing SQL. - Hands-on experience building and operating distributed data platforms on AWS or GCP. - Hands-on experience with streaming platforms such as Kafka and Spark.
- Experience building natural language interfaces over data warehouses, including applying GenAI/LLM techniques to data and analytics. - Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino. - Expertise writing, optimizing, and analyzing SQL.
- Hands-on experience building and operating distributed data platforms on AWS or GCP. - Hands-on experience with streaming platforms such as Kafka and Spark. - Experience scaling data modeling and warehousing.
- Experience with scheduling tools such as Airflow. - Familiarity with the BI tool Metabase. - Proficiency in Ruby on Rails, React, or other adjacent languages.
- Experience with Cube or other semantic layers. - Experience with scheduling tools such as Airflow. - Familiarity with the BI tool Metabase.
About Firstup
At Firstup, our mission is to improve the employee experience at every moment that matters, large and small.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 20, 2026 · 39 days ago
- Recorded sightings
- 21
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Sep 14, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
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Job description
The Senior Data Engineer will design and build reliable data solutions that translate complex product and business logic into scalable, well-tested data models and pipelines. This role requires deep expertise in SQL, query acceleration, and applying GenAI to both engineering workflows and data/analytics interfaces. They will partner across engineering, analytics, and business teams, contribute to shared codebases, improve data quality and observability, and help evolve the data architecture.
Responsibilities
-
Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions, balancing data quality, business value, and speed.
-
Build and maintain natural language interfaces to data and analytics, applying GenAI/LLM techniques to make data more accessible across the business.
-
Use GenAI coding tools and practices in daily development to improve code quality, testing, and delivery speed.
-
Continuously evaluate new technologies that could improve and scale the team's data platform and technology stack.
-
Establish and follow standards for SQL development, data modeling, testing, documentation, code reviews, and production support.
-
Support production data pipelines through on-call rotation and incident response, partnering with engineering, analytics, and business teams.
-
Document and maintain expertise in the technology stack and product domain, translating business needs into technical solutions with product management.
Minimum Qualifications
-
Bachelor's degree in Computer Science or related field, or equivalent professional experience.
-
8+ years building reliable, high-performance, large-scale distributed systems, with an emphasis on streaming and data pipelines.
-
Experience working with and maintaining multi-tenant SaaS experiences.
-
Experience building natural language interfaces over data warehouses, including applying GenAI/LLM techniques to data and analytics.
-
Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino.
-
Expertise writing, optimizing, and analyzing SQL.
-
Hands-on experience building and operating distributed data platforms on AWS or GCP.
-
Hands-on experience with streaming platforms such as Kafka and Spark.
-
Experience scaling data modeling and warehousing.
-
Proficiency in python.
Preferred Qualifications
-
Experience with Cube or other semantic layers.
-
Experience with scheduling tools such as Airflow.
-
Familiarity with the BI tool Metabase.
-
Proficiency in Ruby on Rails, React, or other adjacent languages.
Employment type
Full-time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hybrid- London, UK
If you want to engage brilliant minds in a high-growth and inclusive environment where ideas are rewarded regardless of who they come from, join us. This is a rapidly changing space so if you thrive on ambiguity, are hungry for a challenge, and have the guts to speak your mind, you could be a perfect fit. We offer an excellent PTO program, great health benefits, a casual and friendly environment, remote work, and a leadership team who truly believes in your growth – both personally and professionally. Firstup is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state or local laws.
More source context
#LI-TM1 #LI-Remote Employment type
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