Senior Data Platform Engineer

1 week ago


London, Greater London, United Kingdom Schroders Full time
About the Role

We are seeking a highly skilled Senior Data Platform Engineer to join our Enterprise Data team at Schroders. As a key member of our team, you will be responsible for establishing and integrating innovative technologies into our data platform services, serving our data practitioners, including data engineering and data science.

Key Responsibilities
  • Work with the team to rationalize and integrate various data technologies, understanding the outcomes that data engineers and data scientists are trying to achieve.
  • Create new services that tie together formerly disparate processes into blocks that can be assembled into patterns to form an effective and efficient process.
  • Own end-to-end pipelines and destinations for the transfer and storage of all data.
  • Support the strategic migration of enterprise applications and analytics to Snowflake.
  • Assist in the evolution of a modern, group-wide data platform based on the data mesh paradigm.
  • Develop deep partnerships with other engineering and product teams to deliver on major cross-functional initiatives.
  • Represent the community to large audiences inside and outside of Schroders.
Requirements
  • Strong Python and SQL coding skills.
  • Proficiency in Snowflake data platform concepts, including establishing RBAC controls, managing virtual warehouses, optimizing query performance, and utilizing advanced features.
  • Experience standing up data platforms, either open source or integration of 3rd party cloud or SaaS services.
  • Good understanding of distributed systems, APIs, cloud computing patterns, virtualization/containerization.
  • Experience with infrastructure as code tools, and CI/CD/DevOps.
  • Familiarity with a variety of cloud-native data stores.
  • Cost management on cloud.
  • Experience with tools such as DBT, Airflow, Collibra, GraphQL, and StreamSets.
  • Hybrid architectures (Cloud/on-premises) and multi-cloud.
  • Good knowledge of agile methodology and capable of following the framework, contributing to team success through participation in ceremonies and occasionally assisting with Scrum Master duties.
  • Good knowledge of source control (GitHub especially) and working on a shared codebase.
  • Familiarity with security controls and experience interacting with information security teams to ensure the solution is suitably secured and controlled.
  • Experience creating large-scale data engineering pipelines, data-based decision-making, and quantitative analysis tools and software.
Desirable Qualifications
  • Knowledge of the Asset management industry.
  • Educated to undergraduate or higher level in a numerate or applied science subject, but relevant industry experience will be equally valuable and considered.
  • Azure/AWS data engineering, Snowflake certifications.
  • Experience with data platforms, including cache management, scheduling, performance, and tuning of queries.
  • Experience with Data Warehousing technology stacks.
About You

We are looking for a friendly, approachable, and collaborative team player who enjoys working with people across the business and can act as a mentor to more junior colleagues when required. You should be self-motivated, showing initiative often and keen to help the team improve engineering processes across Schroders. You have a continuous improvement mindset and seek to optimize where necessary. You can understand the environment and prioritize the most important or high-value tasks using available data to inform planning and prioritization. You are a continuous learner, always willing to spend time learning and developing your technical skills on our current tool suite and related disciplines such as data modeling and architecture. You hold yourself accountable, dealing fairly with everyone and demonstrating integrity.



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