Senior Data Engineer

Company Description BeInspired is a Technology, Transformation & Growth delivery partner that assembles specialist consultants and multidisciplinary teams to support critical workstreams and complex programmes.

The organization works with public-sector bodies, enterprises, technology businesses, and systems integrators, providing expertise across applied agentic AI, data, cloud, cyber security, software engineering, infrastructure, and architecture to modernize technology and accelerate delivery.

BeInspired’s transformation specialists lead programmes, manage change, and support service transitions to help clients navigate complexity while maintaining performance. Its growth consultants focus on customer insight, product and commercial strategy, go-to-market, marketing, sales, and revenue operations, enabling organizations to validate opportunities and drive adoption. As a specialist SME, BeInspired combines enterprise-level delivery capability with agility, pace, and flexibility, giving clients both exceptional delivery and meaningful SME participation.

Role Description The Senior Data Engineer will design, build, and maintain robust data platforms and pipelines that support analytics, AI, and business intelligence across client programmes. This is a contract role in a hybrid working arrangement, based in the United Kingdom with a mix of on-site collaboration and work-from-home flexibility.

Day-to-day responsibilities include developing and optimizing data models, implementing ETL/ELT processes, and ensuring data quality, reliability, and security across multiple environments. The Senior Data Engineer will partner closely with architects, data scientists, and delivery teams to translate requirements into scalable data solutions, contribute to cloud and infrastructure decisions, and support performance tuning and cost optimization. The role also involves documenting data architectures, promoting best practices, mentoring other team members, and contributing to continuous improvement in BeInspired’s data engineering standards.

Qualifications

• Candidates should possess strong data engineering skills, including experience building data pipelines, ETL/ELT workflows, and scalable data architectures.
• Candidates should possess proficiency with modern data technologies such as relational and NoSQL databases, data warehouses/lakes, and distributed data processing frameworks (e.g., Spark, Kafka, or similar).
• Candidates should possess advanced programming skills for data work, ideally in languages such as Python, SQL, and one additional language commonly used in data engineering.
• Candidates should possess cloud data platform experience (e.g., AWS, Azure, or GCP), including use of native data services, storage, and security features.
• Candidates should possess knowledge of data governance, data quality, and security practices, including compliance with relevant regulations and organizational policies.
• Candidates should possess strong collaboration and communication skills to work effectively with architects, data scientists, product owners, and delivery teams in hybrid environments.
• Candidates should possess experience supporting complex transformation or technology programmes, ideally within public-sector or large enterprise contexts.
• Beneficial qualifications include prior work in agentic AI or advanced analytics, familiarity