Staff-Level ML Engineer
Role details
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Tech stack
Job description
Job DescriptionYou'llbe a senior contributor in our Data Engineering team, working across various projects, building out key elements of our data platform using a range of modern tools including Snowflake,dbt, and Airflow.You'llhelp us minimise our cloud costs, drive best practices acrossallour Data Disciplines and scale and automate our data governance.
EnableVXBS (Visa Cross-Border Solutions)to Make Better Decisions, Faster
At the core of this mission sits our data platform.We'regreat believers in powerful, real-time analytics and empowerment of the wider business. We optimise for simplicity and re-usability - all our data lives in one place and is made available via our data warehouse in Snowflake.
Whatyou'llbe working on:Working in a multi-disciplinary data engineering team, you will:
Support the building of robust data models downstream of backend services (mostly in Snowflake) that support internal reporting, financial and regulatory use cases.
Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.
Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata, and testing standards.
Set standards and ways of working with data acrossVXBS,working collaboratively with others to make it happen.
Take established best practices and standards defined by theteam andapply them within other areas of the business.
Investigate and effectively work with colleagues from other disciplines tomonitorand improve data quality within the warehouse.
Contribute to prioritisation of data governance issues.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager., Location - London (WC2) - 4 day working week Role - Staff Software Engineer Tech - PHP, Symfony, Typescript, Postgre, TDD, Vue Salary - up to £110k Are you an experienced Software Engineer that would like to work in a company that are doing something positive within the...
Requirements
You have experience and a passion for Data Modelling, ETL projects, and Big Data as a developer orengineer
You havegood experiencein Python,Javaor similar languages
You have proven experience with AWS
SQL and data modelling is second nature to you
You are comfortable with general Data Warehousing concepts
You strive for improvement in your work and that of others, proactivelyidentifyingissues and opportunities
You have experience building robust and reliable data setsrequiringa high levelof control
You have proven experience with stream technologies like Kafka, Kinesis, Pulsar, etc
You have experience working withIaCtools such as Terraform, AWS CloudFormation, or Ansible
Nice to haves
Any experience working within a finance function or knowledge of accounting.
Experience working in a highly regulated environment (e.g. finance, gaming, food, health care).
Knowledge of regulatory reporting and treasury operations in retail banking
Have previously useddbt, Databricks, or similar tooling
Experience working with orchestration frameworks such as Airflow/Prefect
Design and implementation knowledge of stream processing frameworks like Flink, Spark Streaming etc.
Used to AGILE ways of working (Kanban, Scrum)
Benefits & conditions
Base pay range Salary: £110,000 - £130,000 Role Data Science & Engineering Recruitment / Event Organiser at Data Science Festival. Staff Data Scientist - lead the design and delivery of geospatial and telematics data products. This is a zero-to-one build opportunity to...
