Senior Data Engineer

Blenheim Chalcot; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a Data Engineer to contribute to its data-driven success. This role involves designing and maintaining scalable data pipelines, ensuring data integrity, and collaborating with cross-functional teams. The company is recognized for its innovative approach in the MarTech sector, focusing on eCommerce brands. Join a dynamic team that values growth and offers opportunities for continuous learning and development. With a strong emphasis on flexibility and collaboration, you will play a crucial role in shaping the future of marketing measurement and driving impactful business decisions.

Benefits

Work perks scheme and discounts

Structured training and leadership development programs

Regular all-company social events

Community events & classes (e.g., Yoga)

Qualifications

• Strong knowledge of PostgreSQL and SQL technologies.
• Experience with data architecture and ELT processes.

Responsibilities

• Design and maintain data models for ML Engineers and Analysts.
• Ensure data integrity and quality across various sources.
• Drive continuous improvement in data operations.

Skills

PostgreSQL

SQL

Python

Data Architecture

Data Modeling

Statistics

Agile Methodologies

Tools

dbt (Data Build Tool)

AWS

Job description

Are you curious, excited by experimentation and always looking for a better way of doing things?

Do you want to keep learning and developing whilst getting hands-on, entrepreneurial, business building experience?

Do you want to make your mark in the future of marketing measurement?

If so, we would love to hear from you!

ABOUT US

At Blenheim Chalcot, we use our knowledge, expertise and infrastructure to sustain an innovation system that transforms disruptive ideas into innovative businesses. We originate the ideas ourselves, grow them from the ground up and take them through to scaling and ultimately exit.

We typically build enterprise Software as a Service (SaaS) products, powered by Generative AI and target industries which are exposed to market, regulatory or technology discontinuities. We have built businesses across the following sectors:

• Education
• Media and Marketing
• Public Services and Health
• Sports

Our track record has seen us build more than 60 businesses over the last 25 years. The portfolio has annual revenues of £500m, employs more than 3,000 people, has raised £600m in equity, and secured exists totalling over £1bn.

Blenheim Chalcot has three global locations. Portfolio companies are headquartered from Scale Space, London, our 200,000ft2 collaboration space which was built as a joint venture with Imperial College London. Our Mumbai offices provide unparalleled scaling capability and technical expertise, and our U.S. operation powers the go-to-market activities of the portfolio across North America.

This particular role would be situated within Fospha, one of Blenheim Chalcot's portfolio MarTech businesses.

Fospha

Fospha is the marketing measurement platform for eCommerce brands. We have found product/market fit in the last two years and quickly become a market leader for measurement with numerous awards and rocket-ship growth to match. We are the only business of our type to be a certified partner of Meta, TikTok and Snap, and have worked with our customers - some of the best-known eCommerce brands in the world to drive massive growth and value. We are now expanding globally and are looking for excellent candidates to join the next phase of our journey.

The Role

As a Data Engineer, you will be a key contributor to our data-driven success by designing, developing, and maintaining scalable data pipelines and architecture. You will play a crucial role in ensuring data integrity, optimizing data storage, and collaborating with cross-functional teams to support business initiatives. Additionally, you will drive continuous improvement in data processes, promote a culture of data excellence, and provide insights to support strategic decision-making.

Key Responsibilities:

• Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data.
• Support data-driven decision-making by providing clean, reliable, and timely data.
• Ensure data integrity and quality across various data sources.
• Implement and maintain ELT (Extract, Load, Transform) processes using scalable data pipelines and data architecture.
• Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
• Define the standards for high-quality data for Data Science and Analytics use-cases and help shape the data roadmap for the domain.
• Conduct exploratory data analysis to uncover data patterns and trends.
• Identify opportunities for process improvement and drive continuous improvement in data operations.
• Stay updated on industry trends, technologies, and best practices in data engineering.

Professional Requirements:

• Excellent knowledge of PostgreSQL and SQL technologies.
• Fluent in Python.
• Understanding of data architecture, pipelines and ELT flows/technology/methodologies.
• Understanding of agile methodologies and practices.
• Experience using dbt (Data Build Tool).
• Experience using pipeline technologies within AWS.
• Knowledge of data modeling and statistics.

Benefits & Perks [London]

• Work perks scheme and discounts
• We believe growth never stops and that is why we encourage all our employees to upskill: taking part in our Fospha L&D activities, structured training and leadership development programs as part of Blenheim Chalcot.
• Regular all-company social events throughout the year.

Working location

The Fospha UK team is based at the Scale Space tech campus in West London - where you can partake in a full social calendar of community events & classes (Yoga is a team favourite). Whilst at Fospha we pride ourselves on flexibility (accommodating hours and personal circumstances), we are an office-first company with a minimum 4 day/week office policy. In our experience, this is the best way to get new joiners up to speed quickly, benefiting from in-person learning, collaboration and social interactions!