Data Engineer with Snowflake

Hi, we're glad you're here! We are hiring to our Aviva Services Excellence Centre! Take a look at our job description - maybe it suits you or one of your friends? 

The project is growing and the team needs you!

Why is it good to join Aviva?

• Become a part of a team of enthusiasts where initiatives are more than welcome

• You'll have the real influence on the shape of the project (everyone's voice matters)

• You'll have fun creating and implementing high quality solutions that you can later leverage on - there will be more time to work on interesting features in the future (instead of putting out fires)

• Experience friendly and supportive working culture

• Direct cooperation with the UK team

• Have lots of fun and satisfaction from your work without sacrificing work-life balance

• You'll get access to high quality learning platforms with guaranteed time for self-development during working hours

• Internal upskilling programs available for Data Engineers

• Opportunity to use and experience modern technology stack used within Data Engineering

• Clear career path

What will you be doing?

• Designing, developing, and optimizing scalable data pipelines using Snowflake and modern data stack tools.

• Collaborating with cross-functional teams to understand data requirements and deliver robust solutions.

• Implementing best practices for data modelling, performance tuning, and cost-efficient architecture in Snowflake.

• Conducting code reviews to ensure high-quality, maintainable, and secure data engineering solutions.

• Ensuring data quality, reliability, and security across all stages of the data lifecycle.

• Automating data workflows and integrating diverse data sources into the Snowflake platform.

• Monitoring and troubleshooting data pipeline issues, ensuring high availability and performance.

What we’re looking for?

• Approx. 2-3 years of experience in a relevant role.

• Experience in Snowflake scripting - stored procedures (PLSQL or python), user defined functions, Common Table expressions, Window functions.

• Knowledge of ETL / ELT and Snowflake architecture.

• Knowledge of various file formats (Parquet, JSON, YAML).

• Understanding Snowflake concepts like data sharing, replication, dynamic data, using masking policies, secure views, row access policies concepts, tags, streams, tasks, external tables, time travel, clone, storage integration, stages, clustering of larger tables on clustering keys, role-based access control.

• Familiarity with git concepts like creation of branches, cloning of repo, creation of pull requests, resolving conflicts, code reviews.

• Understanding basic principles of data structure and data modelling.

• Knowledge of Azure DevOps and/or AWS services (AWS Glue experience is preferred).

• Experience with software engineering best practices such as design patterns, code review, testing, and documentation.

• Fluent English.

Nice to have:

• Knowledge of Apache airflow to schedule pipelines.

• Experience in using Snowpark.

• DBT (Data build tool or any other commercial ETL tool) hands on experience in creating models as per requirements, using macros, jinja scripting, hooks, automated tests, snapshots, DBT packages.

• Snowflake certifications.