Lead Data Engineer at Ge Vernova in Stafford, England, United Kingdom | Kablio

Role

Description

data pipelines

performance monitoring

dataset onboarding

data governance

automation integration

storage solutions

Build and manage scalable, reliable data pipelines for data cleaning, transformation, feature extraction, and processing of both structured and unstructured data.
Monitor and optimize pipeline performance to ensure scalability and efficiency.
Identify and onboard new datasets that enhance our AI/ML capabilities and support product development.
Work cross-functionally with Product Management, R&D, and Engineering to translate business needs into technical data solutions.
Implement data quality checks and adhere to data governance best practices.
Automate data integration processes and standardize data transformations based on business-specific needs.
Apply appropriate storage technologies (Relational, NoSQL, Data Lakes, etc.) to ensure secure and efficient data management.
Design and maintain database structures, schemas, and data models.
Integrate data from internal and external APIs, ensuring seamless and automated data flows.
Collaborate closely with Data Scientists and ML Engineers to ensure delivery of high-quality, relevant data.

Requirements

python

sql

tableau

snowflake

spark

aws

Experience with data visualization tools (e.g., Tableau, Power BI) for reporting and dashboard creation.
Solid understanding and hands-on experience with ETL/ELT processes and workflow automation.
Strong knowledge of relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
Strong communication and collaboration skills; able to work cross-functionally in fast-paced environments.
Knowledge of Graph Databases, and cloud-based data warehousing solutions (e.g., Snowflake, Redshift).
Proficiency in Python, SQL, and one additional language (e.g., Scala, Java).
Experience typically gained over +5 years in large multinational companies within the energy sector or related industrial domains such as smart infrastructure or industrial automation.
Experience with data architectures supporting GenAI models.
Bachelor’s, Master’s, or PhD in Computer Science, Electrical/Computer Engineering, or a related field with a focus on data engineering or electric power systems.
Familiarity with big data technologies like Apache Spark, Kafka, or Hadoop.
Data storytelling and the ability to translate insights into actionable business recommendations.
Experience working with cloud platforms like AWS, Azure, or GCP for deploying data systems.
Hands-on experience building and managing production-grade data pipelines.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

April 2024

Founded

The company emerged from the spin-off of GE's energy units in April 2024.

>$10B Quarterly Revenue

Revenue Growth

Achieves over $10 billion in quarterly revenue, driven by demand for power infrastructure and digital solutions.

$3B

Wind Turbine Backlog

Maintains a significant backlog in wind turbine orders, reflecting strong market demand.

25%

Global Electricity Supply

Contributes to generating 25% of the world’s electricity through its installed turbines and grids.

Traces roots back to Edison and Alstom, merging power, renewable, digital & financial wings.
Headquartered in Cambridge, MA, crafts large-scale gas turbines, SMRs, wind turbines, hydro and grid tech to fuel economies.
On the nuclear front, advancing small modular reactors (like BWRX‑300) in partnership with utilities and supporting semiconductor projects.
Wind prowess spans onshore, offshore and blade making—with key sites like Dogger Bank offshore and blade plants in Spain.
Electrification arm tackles grid stability: HVDC, transformers, storage, conversion, plus GridOS software powering smarter infrastructure.
Weaves finance and consulting through energy-infrastructure investments, funding solar farms to pipelines via GE Energy Financial Services.

Culture + Values

Relentlessly focused on advancing the world’s transition to cleaner, more sustainable energy.
Believes in working with customers, partners, and communities to create innovative energy solutions that make a meaningful difference.
Prioritizes excellence, integrity, and accountability in everything they do.
Committed to driving real change through technology and partnerships that will transform the global energy landscape.

Environment + Sustainability

2050 target

Net zero commitment

Committed to achieving net zero carbon emissions by 2050.

Focused on reducing emissions through advanced energy technologies.
Maximizing use of renewable energy sources and leveraging digital solutions for energy efficiency.
Solutions aim to decarbonize industries and help customers meet their sustainability goals.

Inclusion & Diversity

Articles

Contact GE Vernova

Our Approach to Sustainability

Careers at GE Vernova

Role

Description

data pipelines

performance monitoring

dataset onboarding

data governance

automation integration

storage solutions

Build and manage scalable, reliable data pipelines for data cleaning, transformation, feature extraction, and processing of both structured and unstructured data.
Monitor and optimize pipeline performance to ensure scalability and efficiency.
Identify and onboard new datasets that enhance our AI/ML capabilities and support product development.
Work cross-functionally with Product Management, R&D, and Engineering to translate business needs into technical data solutions.
Implement data quality checks and adhere to data governance best practices.
Automate data integration processes and standardize data transformations based on business-specific needs.
Apply appropriate storage technologies (Relational, NoSQL, Data Lakes, etc.) to ensure secure and efficient data management.
Design and maintain database structures, schemas, and data models.
Integrate data from internal and external APIs, ensuring seamless and automated data flows.
Collaborate closely with Data Scientists and ML Engineers to ensure delivery of high-quality, relevant data.

Requirements

python

sql

tableau

snowflake

spark

aws

Experience with data visualization tools (e.g., Tableau, Power BI) for reporting and dashboard creation.
Solid understanding and hands-on experience with ETL/ELT processes and workflow automation.
Strong knowledge of relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
Strong communication and collaboration skills; able to work cross-functionally in fast-paced environments.
Knowledge of Graph Databases, and cloud-based data warehousing solutions (e.g., Snowflake, Redshift).
Proficiency in Python, SQL, and one additional language (e.g., Scala, Java).
Experience typically gained over +5 years in large multinational companies within the energy sector or related industrial domains such as smart infrastructure or industrial automation.
Experience with data architectures supporting GenAI models.
Bachelor’s, Master’s, or PhD in Computer Science, Electrical/Computer Engineering, or a related field with a focus on data engineering or electric power systems.
Familiarity with big data technologies like Apache Spark, Kafka, or Hadoop.
Data storytelling and the ability to translate insights into actionable business recommendations.
Experience working with cloud platforms like AWS, Azure, or GCP for deploying data systems.
Hands-on experience building and managing production-grade data pipelines.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

April 2024

Founded

The company emerged from the spin-off of GE's energy units in April 2024.

>$10B Quarterly Revenue

Revenue Growth

Achieves over $10 billion in quarterly revenue, driven by demand for power infrastructure and digital solutions.

$3B

Wind Turbine Backlog

Maintains a significant backlog in wind turbine orders, reflecting strong market demand.

25%

Global Electricity Supply

Contributes to generating 25% of the world’s electricity through its installed turbines and grids.

Traces roots back to Edison and Alstom, merging power, renewable, digital & financial wings.
Headquartered in Cambridge, MA, crafts large-scale gas turbines, SMRs, wind turbines, hydro and grid tech to fuel economies.
On the nuclear front, advancing small modular reactors (like BWRX‑300) in partnership with utilities and supporting semiconductor projects.
Wind prowess spans onshore, offshore and blade making—with key sites like Dogger Bank offshore and blade plants in Spain.
Electrification arm tackles grid stability: HVDC, transformers, storage, conversion, plus GridOS software powering smarter infrastructure.
Weaves finance and consulting through energy-infrastructure investments, funding solar farms to pipelines via GE Energy Financial Services.

Culture + Values

Relentlessly focused on advancing the world’s transition to cleaner, more sustainable energy.
Believes in working with customers, partners, and communities to create innovative energy solutions that make a meaningful difference.
Prioritizes excellence, integrity, and accountability in everything they do.
Committed to driving real change through technology and partnerships that will transform the global energy landscape.

Environment + Sustainability

2050 target

Net zero commitment

Committed to achieving net zero carbon emissions by 2050.

Focused on reducing emissions through advanced energy technologies.
Maximizing use of renewable energy sources and leveraging digital solutions for energy efficiency.
Solutions aim to decarbonize industries and help customers meet their sustainability goals.

Inclusion & Diversity

Articles

Contact GE Vernova

Our Approach to Sustainability

Careers at GE Vernova