Senior Data Engineer, Fractal
2-3 days a week in office (West London )
AI-driven data analytics platform
Posted today
AI-driven data analytics platform
1001+ employees
Posted today
2-3 days a week in office (West London )
1001+ employees
Company mission
To reshape business through science and advanced data tools and uncomplicate decision-making, so human intelligence can be freed from the drudgery of monotonous work and committed to the pursuit of imagination and creative rewards.
Role
Who you are
- Experience: 7+ years of professional experience in data engineering or a related role across GCP services
- SQL: Strong expertise in writing complex, optimized SQL queries for data extraction and transformation
- ETL/ELT: Hands-on experience building data pipelines using frameworks like Apache Spark, Apache Airflow, DBT, Fivetran, Matillion, or equivalent
- Databases: Solid understanding of relational databases (e.g., PostgreSQL, MySQL) and experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Synapse)
- Data Modeling: Knowledge of data modeling principles (e.g., star schema, snowflake schema, normalization)
- Programming: Proficiency in Python and/or Scala for data processing and pipeline development
- Agentic workflows: Experience using agentic workflows in day-to-day deliveries
- Version Control: Experience with Git and collaborative development workflows
- Problem-Solving: Strong analytical and problem-solving skills with a focus on data quality and system reliability
- Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders
What the job involves
- We are seeking a skilled and detail-oriented Senior Data Engineer to design, build, and maintain scalable data pipelines and infrastructure
- You will be responsible for transforming raw data into reliable, high-quality datasets that fuel analytics, reporting, and machine learning initiatives
- The ideal candidate is passionate about data quality, automation, and solving complex data challenges in a collaborative environment
- Design & Build Pipelines: Develop, deploy, and monitor robust, scalable, and efficient ETL/ELT data pipelines using modern tools and frameworks
- Data Modeling & Architecture: Design, implement, and optimize data models (relational, dimensional, NoSQL) in data warehouses, data lakes, or lakehouses
- Data Integration: Ingest, process, and integrate data from diverse sources (Kafka, pub-sub, databases, APIs, streaming platforms, SaaS applications, flat files)
- Data Quality & Governance: Implement data validation, cleansing, and monitoring processes to ensure accuracy, consistency, and reliability of data assets
- Infrastructure & Optimization: Manage and optimize cloud data infrastructure (e.g., GCP, AWS, Azure) and on-premise systems for performance, cost-efficiency, and scalability
- Collaboration: Partner closely with Data Analysts, Data Scientists, and business stakeholders to understand data requirements and deliver solutions that meet their needs
- Automation & CI/CD: Automate data pipeline deployments, testing, and monitoring using CI/CD principles and tools
- Documentation: Maintain clear and comprehensive documentation for data pipelines, models, and processes
- Troubleshooting: Investigate and resolve data pipeline failures, performance bottlenecks, and data quality issues
- On-call Support: This role requires to be available for out-of-office on-call support on a rotation
Application process
- End Date: December 31, 2026
Salary benchmarks
Our take
The analysis of business data is essential in making operational changes based on forecasting, managing supply chains, and optimizing revenue, but the mass of available data can be overwhelming. This can sometimes be combated with the power of AI-driven data analysis tools, but existing solutions are usually designed to solve specific problems within specialized industries.
Fractal develops AI-driven tools and platforms for businesses, including a conversational AI platform called Senseforth, a revenue growth AI tool called Samya, AI algorithms for medical imaging named Qure, and an all-in-one data analytics platform called Crux Intelligence. The company develops its solutions to be flexible and applicable within a wide range of industries including consumer packaged goods, healthcare, financial services, and media.
Whilst AI-driven business tools are commonplace, Fractal has taken the smart approach of developing a suite of flexible AI tools that can tackle problems in many industries, as opposed to focusing on a specific problem or industry. This strategy has positioned the company well for continued growth and impact, reflecting its broad applicability and potential in the market.
Steph
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2022
$360m
GROWTH EQUITY VC
Jan 2019
$200m
GROWTH EQUITY VC
Total funding: $685m
Company HQ
World Trade Center, New York, NY
Articles
Leadership
Pranay Agrawal
(Co-Founder, CEO & EVP of Global Client Development)Pranay co-founded Fractal in 2001, serving as EV of Global Client Development since then and CEO since 2016.
Srikanth Velamakanni
(Co-Founder, Group Chief Executive & Executive Vice Chairman)After co-founding Fractal, Srikanth served as the CEO until moving into the role of Group Chief Executive & Executive Vice Chairman. He is also a Vice Chairperson at nasscom, Non Executive Chairman at ideaForge and co-founder & Trustee at Plaksha University.
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