Data Engineer, Ai & Innovation

Bloomsbury Publishing Plc; Greater London; Hybrid; GBP 65,000 - 70,000; Full time

Benefits offered by this job

25 days holiday

Hybrid working pattern

Season Ticket Loan

Sharesave Scheme

In-house Doctor

Eyecare Voucher Scheme

Wellness days

Job summary

Bloomsbury Publishing Plc is seeking an experienced Data Engineer to join the AI & Innovation team in London. You will design, build and maintain the data platforms and pipelines that underpin insights, forecasting, licensing and other strategic projects.

You will work closely with data scientists, technology, legal and publishing teams to ensure trusted, well-modelled data is accessible across the organisation.

Qualifications

• Experience building and supporting production data pipelines.
• Strong SQL and Python skills.
• Experience with cloud-based data warehouses (BigQuery, Snowflake, Redshift or Databricks).
• Knowledge of data orchestration tools such as Airflow, Dagster or dbt.
• Ability to ingest data from APIs and diverse sources with attention to detail.
• Understanding of version control and automated deployment best practices.
• Excellent communication with stakeholders across the business.
• Experience in publishing, media or content industries is advantageous.

Responsibilities

• Design, build and maintain Bloomsbury's Single Source of Truth.
• Lead migration and consolidation of data into BigQuery and retire legacy systems.
• Develop and manage production data pipelines from internal systems and third parties.
• Implement data quality checks, monitoring and lineage processes.
• Provide data foundations for AI initiatives including forecasting and licensing.
• Model, reconcile and standardise publishing data including metadata and rights information.
• Collaborate with Data Scientists to productionise analytical models.
• Apply governance, security and access controls with Technology and Legal teams.
• Document systems and pipelines to ensure maintainability.

Skills

SQL

Python

Data pipelines

Cloud warehouses

Airflow/Dagster/dbt

APIs integration

Data modelling

Version control

Stakeholder communication

Publishing industry awareness

Tools

BigQuery

Snowflake

Redshift

Databricks

Airflow

Dagster

dbt

Job description

Bloomsbury is looking for an experienced and pragmatic Data Engineer to join our AI & Innovation team. It’s an exciting opportunity to help shape Bloomsbury's data infrastructure and support some of the company's most ambitious AI and commercial initiatives.

As the first dedicated Data Engineer in the business, you will be responsible for building and maintaining the data platforms, pipelines and governance frameworks that underpin insights, forecasting, discovery, licensing and other strategic projects. You will work closely with Data Scientists, Technology, Legal and colleagues across our publishing divisions, helping to ensure trusted, well-modelled data is accessible throughout the organisation.

This is a foundational role rather than a maintenance one, and suits someone who would rather build infrastructure that lasts than run someone else's. The ideal candidate will enjoy building reliable systems from the ground up, have a strong understanding of modern data engineering practices, and be comfortable collaborating with both technical and non-technical stakeholders.

The role will ingest data from multiple systems into GCP (BigQuery) you will be comfortable working with varying data sources and types.

As a small engineering team, we value adaptability, we will have requests from various parts of the business that require learning tools, implementing code, and working in areas you’re unfamiliar with. Problem solving is key.

The role

• Design, build and maintain Bloomsbury's Single Source of Truth, ensuring colleagues work from trusted and well-documented datasets
• Lead the migration and consolidation of data into BigQuery and support the retirement of legacy systems
• Develop and manage production data pipelines that ingest information from internal systems, third-party providers and supplier platforms
• Implement data quality checks, monitoring, testing and lineage processes to ensure data accuracy and reliability
• Provide the data foundations required for AI initiatives, including forecasting models, semantic search and licensing solutions
• Model, reconcile and standardise publishing data including metadata, sales, stock and rights information
• Collaborate with Data Scientists to move analytical models from proof-of-concept into dependable production environments
• Apply governance, security and access controls in partnership with Technology and Legal teams
• Document systems, processes and pipelines to ensure knowledge is shared and solutions remain maintainable

Knowledge, skills and experience

• No specific qualification is required for this role. We are interested in demonstrable skill and judgement however they were acquired.
• Demonstrable experience building and supporting production data pipelines
• Strong SQL and Python skills
• Experience working with cloud-based data warehouses such as BigQuery, Snowflake, Redshift or Databricks
• Knowledge of modern data orchestration and transformation tools such as Airflow, Dagster or dbt
• Experience ingesting data from APIs, databases, supplier feeds and other diverse sources
• Strong data modelling and problem-solving skills with excellent attention to detail
• Understanding of software engineering best practices including version control and automated deployment
• Excellent communication skills and confidence working with stakeholders across all levels of the business
• Experience within publishing, media or content-based industries would be an advantage
• Knowledge of ONIX, EPUB, semantic search or machine learning data pipelines would be beneficial

Additional information

The role is a full-time, permanent position with a salary of £65,000 - £70,000 pa

The role is based at our London office 50 Bedford Square, London, WC1B 3DP on a hybrid working pattern of 2 days office based / 3 days home based (or fully office based if preferred). Allocated office days for this role are: Mondays and Wednesdays.

Bloomsbury reserve the right to close the role early if we exceed the required number of applications

Bloomsbury benefits

As well as a fantastic opportunity to join a global award-winning organisation, Bloomsbury offers the following competitive benefits package:

Working Pattern

• hybrid working pattern of: 2 days office based / 3 days home based (or fully office based if preferred)

Holidays

• 25 days holiday
• 3.5 days Christmas company holiday

Other Benefits:

• Two paid Personal Wellness Days
• Flexible Fridays – take Friday afternoon off by working an additional 3 hours and 45 minutes earlier in the week
• Season Ticket Loan
• Sharesave Scheme
• In-house Doctor
• Eyecare Voucher Scheme
• Company culture! – Employee Voice Meetings, Staff Networks (Bloom, Disability, Mental Health, Pride and Parents, Guardians and Carers), 12 Mental Health First Aiders trained across the UK offices, Publishing Events and access to free Publishing Resources

Bloomsbury is a place where anyone of any background, race, ethnicity, religion, sexuality, gender identity, age, ability, or socio-economic status can thrive, feel comfortable, and be heard and accepted. We are an equal opportunities employer and welcome applications from all sections of the community.

We are willing to make any reasonable adjustments throughout the recruitment process, please flag to the recruitment team if required

Applicants must have the legal right to work in the UK.

Data Engineer, AI & Innovation • London, UK