We are looking for a highly talented and driven Data Engineer who takes pride in their work, to expand our Engineering team in London. Successful candidates will join a cross-functional team including product managers and designers working closely with the rest of our business to deliver working code that solves real problems for both internal and external customers. You will take ownership of the services managed by your team, ensuring that their development aligns with the higher level AlphaSights Engineering strategy, while mentoring more junior Engineers. If you’re passionate about solving complex data challenges with code, and enjoy collaborating with talented colleagues in a high-performance environment, this role is a perfect fit for you.
What you’ll do:
Design solutions:
Design, develop, deploy and support data infrastructure, pipelines and architectures, contributing to an architectural vision that will scale up to be the world’s leading research platform. Ship working code:
Write clean, efficient, and maintainable code that powers data pipelines, workflows, and data operations in a production environment. Implement reliable, scalable, and well-tested solutions to automate data ingestion, transformation, and orchestration across systems. Own data operations infrastructure:
Manage and optimise key data infrastructure components within AWS, including Amazon Redshift, Apache Airflow for workflow orchestration and other analytical tools. You will be responsible for ensuring the performance, reliability, and scalability of these systems to meet the growing demands of data pipelines and analytics workloads. Build your competency:
You will learn quickly by building market-leading technology with experienced colleagues in a high performance environment. Engineers can also use our L&D budget to fast-track development of specific technical competencies. Maintenance and troubleshooting:
Your role will include overseeing configuration, monitoring, troubleshooting, and continuous improvement of our infrastructure to support delivering high-quality insights and analytics. Who you are: You have
a degree in a STEM subject , but we’re happy to work with people who perfected their craft via a different route. 5+ years of hands-on data engineering development
experience, with deep expertise in
Python ,
SQL , and working with
SQL/NoSQL databases . Skilled in designing, building, and maintaining
data pipelines ,
data warehouses , and leveraging
AWS data services . Strong proficiency in
DataOps methodologies
and tools, including experience with
CI/CD pipelines, containerized applications , and
workflow orchestration
using
Apache Airflow . Familiar with
ETL frameworks , and bonus experience with
Big Data processing
(Spark, Hive, Trino), and data streaming. Proven track record:
You’ve made a demonstrable impact in your previous roles, standing out from your peers. We’re looking for people who have incredible potential. Highly driven and proactive:
you relentlessly and independently push through hurdles and drive towards excellent outcomes. Meticulous:
you hold high standards and have an obsessive attention to detail. Don’t worry if your experience or background doesn’t match all of these areas, we believe a broad spectrum of experience provides great perspective on solving problems in new and innovative ways and we’d love to hear from you. Please note that unfortunately, we are unable to sponsor visas for this position. AlphaSights is an equal opportunity employer.
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Design, develop, deploy and support data infrastructure, pipelines and architectures, contributing to an architectural vision that will scale up to be the world’s leading research platform. Ship working code:
Write clean, efficient, and maintainable code that powers data pipelines, workflows, and data operations in a production environment. Implement reliable, scalable, and well-tested solutions to automate data ingestion, transformation, and orchestration across systems. Own data operations infrastructure:
Manage and optimise key data infrastructure components within AWS, including Amazon Redshift, Apache Airflow for workflow orchestration and other analytical tools. You will be responsible for ensuring the performance, reliability, and scalability of these systems to meet the growing demands of data pipelines and analytics workloads. Build your competency:
You will learn quickly by building market-leading technology with experienced colleagues in a high performance environment. Engineers can also use our L&D budget to fast-track development of specific technical competencies. Maintenance and troubleshooting:
Your role will include overseeing configuration, monitoring, troubleshooting, and continuous improvement of our infrastructure to support delivering high-quality insights and analytics. Who you are: You have
a degree in a STEM subject , but we’re happy to work with people who perfected their craft via a different route. 5+ years of hands-on data engineering development
experience, with deep expertise in
Python ,
SQL , and working with
SQL/NoSQL databases . Skilled in designing, building, and maintaining
data pipelines ,
data warehouses , and leveraging
AWS data services . Strong proficiency in
DataOps methodologies
and tools, including experience with
CI/CD pipelines, containerized applications , and
workflow orchestration
using
Apache Airflow . Familiar with
ETL frameworks , and bonus experience with
Big Data processing
(Spark, Hive, Trino), and data streaming. Proven track record:
You’ve made a demonstrable impact in your previous roles, standing out from your peers. We’re looking for people who have incredible potential. Highly driven and proactive:
you relentlessly and independently push through hurdles and drive towards excellent outcomes. Meticulous:
you hold high standards and have an obsessive attention to detail. Don’t worry if your experience or background doesn’t match all of these areas, we believe a broad spectrum of experience provides great perspective on solving problems in new and innovative ways and we’d love to hear from you. Please note that unfortunately, we are unable to sponsor visas for this position. AlphaSights is an equal opportunity employer.
#J-18808-Ljbffr
