About YouAs a Senior Data Engineer part of the data team, you will be responsible for running the data systems and services that monitor and report on the end to end Data infrastructure. We are heavily dependent on Snowflake, Airflow, Fivetran, Looker for our business intelligence and embrace AWS as a key partner across our engineering teams. You will report directly in the Head of Data Engineering and work closely with our ML Engineering and Data science Team.Some of the things youll be doing:Integration of additional data sources into our Snowflake Data Warehouse using Fivetran or custom codeBuilding infrastructure that helps our analysts to move faster, such as adding tests to our CI/CD systemsDesigning, developing, and implementing scalable, automated processes for data extraction, processing, and analysisMaintaining an accurate log of the technical documentation for the warehouseTroubleshooting and resolving technical issues as they ariseLooking for ways of improving both what and how services are delivered by the departmentBuilding data loading services for the purpose of importing data from numerous, disparate data sources, inclusive of APIs, logs, relational, and non:relational databasesWorking with the BI Developer to ensure that all data feeds are optimised and available at the required times. This can include Change Capture, Change Data Control and other delta loading approachesDiscovering, transforming, testing, deploying and documenting data sourcesApplying, help defining, and championing data warehouse governance:data quality, testing, coding best practises, and peer reviewWhat youll get in return:25 days holidayFlexible working optionsStock optionsYoull be a great fit if:You have 4+ years of experience in Data EngineeringYou have extensive development in Building ELT pipelines Snowflake added advantageYou have extensive experience in designing, architecting and implementing best Data Engineering practicesYou have good experience in Data ModellingYou have extensive experience in writing SQL statements and performance tuning themYou have experience in data mining, data warehouse solutions, and ETL, and using databases in a business environment with large:scale, complex datasetsYou have experience architecting analytical databasesYou have experience working in a data engineering or data warehousing teamYou have high development standards, especially for code quality, code reviews, unit testing, continuous integration and deploymentYou have strong technical documentation skills and the ability to be clear and precise with business usersYou have business:level of English and good communication skillsYou have knowledge of various systems across the AWS platform and the role they play e.g. Lambda, DynamoDB, CloudFormation, GlueYou have experience with Git and DockerYou have experience with with Snowflake, dbt, Apache Airflow, Python, Fivetran, AWS, git and LookerWho are TideWere the UKs leading provider of smart current accounts for sole traders and small companies. Were also on a mission to save business owners time and money on their banking and finance admin so they can get back to doing what they love:for too long, these customers have been under:served by the big banks.Our offices are in London, UK, Sofia, Bulgaria and Hyderabad, India, where our teams are dedicated to our small business members, revolutionising business banking for SMEs. We are also the leading provider of UK SME business accounts and one of the fastest:growing fintech in the UK.Were scaling at speed with a focus on hiring talented individuals with a growth mindset and ownership mentality, who are able to juggle multiple and sometimes changing priorities. Our values show our commitment to working as one team, working collabor
