Technology & IT

Our Client

  • British-based stock exchange and financial information company, a dynamic organization of 25,000 people across 70 countries


  • As Technical Lead Data Engineer you will be the key operational and hands-on technical lead to shape and drive a data platform strategy execution across all areas of the Post Trade business as part of LCH Shared Services
  • You will be responsible for contributing to future architectural decisions, including a Cloud data strategy, data warehouse modernization and data delivery platform
  • Acts as technical lead for a team of engineers supporting the full software development life cycle
  • Mentors more junior team members and acts as a go-to person for technical and non-technical issues
  • Makes technical design decisions and is able to manages high-workloads
  • Maintains and designs infrastructure services, designs/implements microservices and serverless components
  • Develops scripts which automate routine tasks related to infrastructure and server management.
  • Creates and maintains Jenkins/GitLab data pipelines, AWS/Azure services, Snowflake data ingestion and transformation pipelines
  • Writes microservices using OO programming languages like Java/Python
  • Creates data pipelines using Kafka and Spark
  • Develops detailed technical and operational documentation.
  • Support Monitoring and Alerting infrastructure using on CloudWatch and Datadog


  • Proven Experience as Dev Lead in complex projects
  • Min 8 years’ experience in implementing software services using major architectural patterns: microservices, event-driven architecture
  • Proven Data Modelling experience
  • Good knowledge of ETL processes, ingestion, transformation and Data loading pipelines
  • Proven knowledge of Java/Python, SQL, BASH
  • Bachelor’s degree or equivalent in an IT related discipline

Nice to have

  • Good knowledge of Java frameworks and Python libraries, SpringBoot, JPA
  • Exposure to a DataWarehousing platforms like Snowflake, Databricks, RedShift, BigQuery
  • Experience in either AWS/Azure environments
  • Experience with Spark, Kafka, Kafka Connect

Our client offers

  • 25 days’ holiday per year
  • 1 additional day off for your Birthday
  • Annual wellness allowance
  • Share Purchase Plan
  • Medical Health Insurance
  • Medical Subscription (preventive medical services)
  • Dental Coverage
  • Life insurance
  • Pillar 3 Private Pension
  • Meal Vouchers
  • Flexible Benefits
  • Bookster
  • Volunteering Events
  • Team Buildings
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