At a Glance
- Tasks: Design and maintain scalable data platforms on Google Cloud for financial clients.
- Company: Join a rapidly expanding AI consultancy recognised as a Great Place to Work.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and a focus on innovation.
- Why this job: Make a real impact in the financial sector with cutting-edge technology.
- Qualifications: 7+ years in data engineering, strong GCP experience, and excellent communication skills.
The predicted salary is between 63000 - 77000 £ per year.
Bits In Glass (BIG) operates as a rapidly expanding AI and automation consultancy, maintaining presence throughout Canada, the United States, India, and Great Britain. The firm's technical scope encompasses over ten primary platforms across artificial intelligence, cloud infrastructure, data management, automation solutions, and enterprise software. Honoured internationally as a Great Place to Work and recipient of various partner achievement awards, BIG emphasizes team collaboration, technological innovation, and tangible client outcomes.
Bits In Glass UK requires a GCP Infrastructure Engineer responsible for architecting, provisioning, and maintaining high-security, scalable cloud environments for the financial sector clientele. The candidate will engage directly with cross-functional stakeholders to implement robust architectures using automation tooling, declarative templates, and contemporary cloud delivery methodologies. The opportunity is tailored for accredited GCP practitioners possessing deep technical expertise in defensive architecture, advanced diagnostic capabilities, and proven success conveying strategy across multidisciplinary teams within joint technical initiatives.
Roles and Responsibilities
- Design, build, and maintain scalable data platforms on Google Cloud Platform for financial sector clients.
- Develop and optimize batch and streaming data pipelines using services such as Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
- Architect data lake, data warehouse, and lakehouse solutions, including data modeling and performance tuning in BigQuery.
- Provision and manage data infrastructure using Terraform and CI/CD pipelines.
- Implement data governance, lineage, quality, and cataloging frameworks to meet regulatory and client requirements.
- Apply security best practices across data environments, including IAM, encryption, KMS, data masking, and access controls.
- Monitor, troubleshoot, and resolve platform performance, reliability, and data quality issues.
- Collaborate with client teams, architects, and internal stakeholders to translate business needs into technical solutions.
- Mentor engineers, contribute to technical standards, and promote DataOps and engineering best practices across the team.
- Communicate architecture decisions, progress, and analysis clearly to technical and non-technical audiences.
Required Skills
- 7+ years of experience in data engineering or data platform engineering, with at least 3 years in a senior or lead capacity.
- Strong hands-on experience building and operating data platforms on GCP.
- Working experience with GCP data services such as BigQuery, Dataflow, Dataproc, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Bigtable, and Cloud SQL.
- Proficiency in Python and SQL, with experience in Spark or Apache Beam.
- Experience designing data warehouse and data lake architectures, including data modeling.
- Working experience with Terraform and CI/CD tooling such as Jenkins, GitHub, or Cloud Build.
- Strong understanding of data security in regulated environments.
- Strong knowledge of DevOps/DataOps and Agile delivery practices.
- Excellent written and verbal communication skills.
- Strong analytical, debugging, and problem-solving skills.
Nice to Have
- GCP Professional Data Engineer or Professional Cloud Architect certification.
- Experience in banking, insurance, or other regulated financial services environments.
- Experience with data governance and quality tools such as Dataplex, Data Catalog, dbt, or Great Expectations.
- Experience with containerization and orchestration (Docker, Kubernetes/GKE).
- Exposure to other data platforms such as Snowflake, Databricks, or Kafka.
- Experience supporting AI/ML workloads or Vertex AI pipelines.
Senior Data Platform Engineer employer: Bits In Glass Inc.
Bits In Glass (BIG) is an exceptional employer, recognised internationally as a Great Place to Work, offering a dynamic work culture that fosters collaboration and innovation. With a strong emphasis on employee growth, BIG provides opportunities for mentorship and skill development in cutting-edge technologies, particularly within the thriving financial sector in the UK. Joining our team means being part of a forward-thinking consultancy that values your contributions and supports your professional journey in a rapidly evolving industry.
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