We are seeking an experienced Data Integration Specialist with 10–14 years of experience in creating and implementing scalable, secure, and high-performance data integration solutions across AWS, Azure, and GCP. The role requires strong expertise in data modelling, data management, and enterprise integration architectures, data lakes to enable seamless data flow across systems and platforms.
What you’ll be doing
Design and implement end-to-end data integration solutions across multi-cloud environments (AWS, Azure, GCP).
Develop and maintain data pipelines (ETL/ELT) for structured and unstructured data.
Define and implement data models (conceptual, logical, physical) aligned with business requirements.
Ensure data quality, governance, and consistency across enterprise systems.
Integrate data across ERP, SaaS platforms, data lakes, warehouses, and APIs.
Lead data migration and transformation initiatives across cloud platforms.
Collaborate with business and technical teams to define data architecture and integration strategies.
Implement real-time and batch integration patterns using modern tools.
Optimize data workflows for performance, scalability, and cost efficiency.
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Ensure compliance with security, privacy, and regulatory standards.
• Hands-on expertise in:
o AWS (Glue, Redshift, Lambda, S3) o Azure (ADF, Synapse, Data Lake, Databricks) o GCP (BigQuery, Dataflow, Pub/Sub, Cloud Data Fusion)
Data Integration & Engineering
Strong experience with ETL/ELT tools (Informatica, Talend, DataStage, Matillion, etc.)
Proficiency in batch and real-time data processing
Experience with API-based and event-driven integrations
Data Management & Modelling
• Expertise in:
o Data modelling (ER, dimensional, star/snowflake schema) o Master Data Management (MDM) o Data governance and metadata management
Hands-on experience with data quality frameworks and tools
Technical Skills
Strong SQL and database knowledge (RDBMS & NoSQL)
Programming skills in Python / Scala / SQL
Experience with data lakes, data warehouses, and lakehouse architectures
Familiarity with CI/CD, DevOps practices, and version control
Qualifications
Bachelor’s/Master’s degree in Computer Science, Data Engineering, or related field
10–14 years of experience in data integration and data engineering roles
Experience in multi-cloud enterprise environments
• Relevant certifications (preferred):
o AWS / Azure / GCP Data or Solutions Architect certifications
Desirable Skills / Experience
Exposure to finance, procurement, or supply chain data ecosystems
Experience with modern data platforms (Databricks, Snowflake, Fabric)
Knowledge of AI/ML data pipelines
BT Group is the UK’s leading communications group and the holding company behind some of the country’s most recognised brands – including BT, EE, Openreach and Plusnet. Our purpose is as simple as it is ambitious: we connect for good. Our customers include consumers, small, medium and large businesses, public sector organisations and other communications providers.
BT Group’s role is about setting direction, unlocking value and creating the conditions for our brands and businesses to thrive.
Having come through the most capital-intensive phase of our fibre investment, our focus now is on what comes next – simplifying how we operate, using technology and AI to work smarter, and organising ourselves to serve customers better and grow sustainably. Group teams shape strategy, policy, brand, capital allocation and transformation, helping the whole organisation perform at its best.
We have a singular culture that unites all our people: we are customer-first challengers, who are committed, clear and connected. These behaviours unite us as one team to deliver for our colleagues, our customers, our stakeholders and the country. Joining BT Group means working at the heart of a business that matters to the UK, with the opportunity to shape decisions, influence outcomes and help set the future course of one of the country’s most important companies.
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