Data Engineer

Xcede; Greater London; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company at the forefront of digital transformation in the travel sector. As an Associate Director in Data & AI Recruitment, you will play a crucial role in building and optimizing data pipelines that enhance AI solutions. This role offers the chance to work with innovative technologies and collaborate with talented professionals in a dynamic environment focused on customer innovation. If you are passionate about data engineering and ready to tackle real-world challenges, this opportunity is perfect for you!

Qualifications

• Experience in handling large volumes of raw data with a focus on data cleansing.
• Strong command of SQL and Python for building data pipelines.

Responsibilities

• Create scalable data pipelines for machine learning products.
• Support data scientists with clean datasets for model training.

Skills

Data Cleansing

Data Modelling

SQL

Python

ETL Solutions

Cloud Environments

Agile Practices

Communication Skills

Tools

AWS Redshift

Google BigQuery

Job description

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This range is provided by Xcede. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Xcede

Associate Director – Data & AI Recruitment

(6-Month FTC - salary advertised is yearly and will then be pro-rated to 6 month equivalent)

London x3~ days a week (some weeks x2 days)

About the Company

We're working with a leading UK-based transport and technology business that’s at the forefront of digital transformation in the travel sector. With a strong focus on customer innovation and data-led services, they’re investing heavily in AI and machine learning to shape the future of how journeys are personalised, optimised, and experienced. Their culture supports forward-thinking, autonomy, and continuous improvement, making it a great place for tech professionals who love solving real-world challenges at scale.

About the Role

This is an exciting opportunity for a passionate Data Engineer to join a growing, high-impact machine learning team. You’ll be instrumental in building and optimising the data pipelines that power AI solutions across the organisation—solutions that directly improve both customer experiences and internal operational efficiencies.

In this role, you’ll work closely with data scientists and product teams to enable the successful development and deployment of machine learning models. From sourcing and managing large-scale datasets, to mentoring colleagues on data best practices, you’ll play a critical role in the full lifecycle of AI product delivery.

Responsibilities

• Creating robust, scalable data pipelines to support the delivery and performance of machine learning products.
• Extracting and integrating data from multiple sources—including across internal teams and distributed systems—to support advanced analytics.
• Designing and maintaining relational and non-relational databases to ensure data is optimised for modelling and analysis.
• Supporting data scientists with clean, structured datasets tailored for model training and validation.
• Overseeing data QA processes and metadata tracking for deployed machine learning models.
• Leading the creation and upkeep of data documentation, including data dictionaries and version tracking protocols.
• Contributing to the team’s knowledge sharing and mentoring culture by promoting best practices across data engineering processes.
• Playing a key role in shaping the strategy for how data supports ML development within the wider organisation.

Requirements

• Proven experience handling and processing large volumes of raw data from multiple sources, with a strong focus on data cleansing and preparation.
• Solid understanding of data modelling and warehousing, including the design and maintenance of scalable ETL solutions.
• Strong command of SQL and Python, particularly for working with complex datasets and building data pipelines.
• Experience working in cloud-based environments, with exposure to tools such as AWS Redshift, Glue, S3, Athena, or Google BigQuery.
• Hands-on experience managing data versioning, metadata, and documentation for large-scale projects.
• A track record of collaborating with cross-functional teams, particularly in data science and product development contexts.
• Familiarity with Agile development practices and a disciplined approach to version control, testing, and deployment.
• Excellent communication skills—comfortable translating complex technical concepts for different audiences.
• Experience working within a Unix-based environment.
• Background in building distributed data systems or pipelines at scale.
• Knowledge of Scala, Spark, or experience supporting machine learning pipelines is a bonus.

If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via [e-mail] (feel free to include a CV for review).

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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