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Data Engineer

1 month ago

London, Greater London, United Kingdom Bell Integration - Driving Digital Transformation Full time
Job Title: Data Engineer

We are seeking a talented and motivated Data Engineer to join our growing engineering team at Bell Integration - Driving Digital Transformation.

About the Role

This is a unique opportunity to design, build, and maintain cloud-based data infrastructure and pipelines that enable the efficient ingestion, storage, and analysis of large datasets.

Key Responsibilities
  • Design and develop scalable and resilient cloud-based data architectures/data lakes/data warehousing solutions and pipelines that meet the needs of both structured and unstructured data.
  • Ensure data is available, consistent, and optimized across all stages from ingestion to consumption.
  • Utilize cloud platforms (primarily AWS) to deploy data solutions that leverage native services such as S3, Lambda, Redshift, Glue, Airflow, or equivalent third-party SAAS services like Snowflake etc for data lake/data warehousing patterns.
  • Continuously monitor and optimize the performance, cost, and scalability of data infrastructure and pipelines.
  • Implement best practices for data security and compliance, including encryption, data masking, and auditing across all data processes.
  • Work closely with data and product analysts, and software development teams to ensure data availability and quality for business insights and machine learning models.
  • Leverage automation tools and scripts to reduce manual effort and ensure repeatability of data workflows.
  • Maintain clear and detailed documentation of all data architectures, processes, and workflows.
  • Integrate AWS native scanning capabilities with internal security standards, ensuring compliance and security.
  • Design, implement, and manage data pipelines using cloud native or third-party services.
Requirements
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • ~8+ years of experience in data engineering or a related field within the financial services industry.
  • ~ Strong understanding of data lake principles, data governance, data quality, and data security best practices.
  • ~ Proven experience with AWS cloud platforms on data storage, processing, management, and capturing Data analytics and insights.
  • ~ Hands-on experience with ETL tools and processes, and orchestration platforms such as Apache Airflow or AWS Step Functions with data pipeline tools like Airflow/Databricks.
  • ~ Proven experience with AWS data services, including S3, Glue, Redshift, RDS, DynamoDB, Lambda, and Athena.
  • ~ Strong understanding of relational databases, NoSQL databases, and data warehousing.
  • ~ Expertise in SQL, Python, and distributed data systems.
  • ~ Proficiency with IT tooling and automation products, including Chef Inspec, Ansible/Ansible tower, SNOW, and JIRA.
  • ~ Experience designing and managing CI/CD or data pipelines.
  • ~ Ability to troubleshoot complex issues in cloud environments and ensure optimal performance of data systems.
  • ~ Strong communication and collaboration skills, with the ability to work effectively in an Agile team environment and contribute to the design and scrum meetings.
What We Offer
  • Competitive Salary
  • Flexible remote working and a supportive environment for varying personal circumstances
  • A diverse and inclusive work culture
  • Company pension
  • Private healthcare/dental care
  • Cycle to work scheme

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