What you’ll be doing

Data Architecture and Strategy

Design and implement end-to-end data architecture frameworks on Google Cloud Platform (GCP). Define and maintain data models, schemas, and mapping strategies aligned with business needs. Collaborate with business and IT teams to ensure the data architecture supports organizational goals.

Data Pipelines and Workflows

Design, build, and optimize scalable ETL/ELT processes for ingesting and transforming data. Develop data pipelines to integrate various data sources, ensuring data integrity and security. Monitor and improve data workflows to enhance performance and reliability.

API and Integration

Design and manage APIs for seamless data exchange between systems. Enable real-time and batch data integrations using best practices.

Data Analysis and Modelling

Build logical and physical data models to support analytical and operational workloads. Map data flows from source to target systems, documenting transformations and lineage.

Governance and Compliance

Implement data governance policies, ensuring compliance with industry standards and regulations. Monitor data quality and establish processes to address inconsistencies or gaps.

Leadership and Collaboration

Mentor junior data engineers and architects, fostering a culture of continuous learning. Act as a subject matter expert in stakeholder discussions, advising on best practices and emerging trends.

Experience you’ll need

8+ years in data architecture, data engineering, or a similar role. Proven expertise in Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.). Deep understanding of ETL/ELT processes, dataflows, and pipelines. Strong experience with API design and integration. Advanced knowledge of data modelling, schema design, and data mapping techniques. Excellent analytical and problem-solving skills with attention to detail

Skills you’ll need

Proficiency in SQL, Python, or Java for data manipulation and scripting. Experience with data visualization tools like Tableau, Looker (advantageous). Familiarity with data governance frameworks (e.g., DAMA-DMBOK). Knowledge of emerging trends in cloud-native architectures and data engineering. Strong communication skills to engage with technical and non-technical stakeholders.

Preferred Certifications

Google Cloud Professional Data Engineer Certification. Certified Data Management Professional (CDMP) or equivalent.

What’s in it for you

Competitive Salary 10% on target bonus BT Pension scheme, minimum 5% Employee contribution, BT contribution 10% On-call allowance 25 days annual leave (not including bank holidays), increasing with service Huge range of flexible benefits including cycle to work, healthcare, season ticket loan World-class training and development opportunities BT Shares Saving schemes. Discounted broadband, mobile and TV packages and access to 100’s of retail discounts including the BT shop

Flexible Working – BT have moved to a hybrid working – you can work from home 2 days per week. This means you’ll be at your contractual location 3 days a week.

Part time and job-share considered

A FEW POINTS TO NOTE:

Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.

We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.

DON'T MEET EVERY SINGLE REQUIREMENT?

Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.