Data Engineer (Snowflake & Kafka) [42098]

Marionete is an independently minded, entrepreneurial technology consultancy helping clients exploit tomorrow’s technology to find unexpected solutions to today’s business problems.

We are seeking an ideal candidate who embodies our core values of partnership, excellence, respect and integrity, stewardship and solution centric. 

For more information visit us: www.marionete.co.uk

As a key part of the data modernisation programme, the successful candidate will be responsible for designing, building, and optimising the data flows that power the company's new platform. This role will focus on data ingestion, transformation, and modelling within our cloud ecosystem, using Snowflake as the core data warehouse and Kafka for real-time data capture.

You’re a data engineer who wants to work with real-time data, and you enjoy solving problems around streaming, transformation, and integration.

• Design, build, and maintain scalable and robust ELT/ETL data pipelines in Snowflake;
• Implement and manage data ingestion from various sources, including real-time streams with Kafka, including KSQL and KStreams pipeline deployments;
• Develop optimised data models within Snowflake to support analytics and business intelligence needs;
• Ensure data quality, integrity, and reliability across the entire data lifecycle;
• Collaborate with architects, analysts, and data scientists to understand requirements and deliver effective data solutions.

•  Experience: Solid experience as a Data Engineer, with a proven track record of building cloud-native data solutions;
•  Snowflake Depth: Expert knowledge of the Snowflake platform, including data modelling and performance tuning;
•  Kafka Experience: Demonstrable, hands-on experience ingesting and processing data streams with Kafka, KStreams and KSQL;
•  Technical Skills: Strong command of SQL and a scripting language (preferably Python). Experience with orchestration tools (e.g., Airflow);
•  Cloud: Experience working with at least one major cloud platform (AWS, Azure, or GCP);
•  Industry: Previous experience in the Insurance or Financial Services sector is a significant advantage..

• Experience in the Insurance field building data pipeline for Policy Admin Systems like Guidewire;
• Understanding of data schemas and Confluent's Schema Registry;
• Exposure to CI/CD practices or working with DevOps teams;
• General knowledge of cloud platforms (Azure, AWS, or GCP).

• Competitive salary package;
• Hybrid position;
• Permanent contract;
• Benefits package, including health insurance and mental health support;
• Financial support for ongoing training in disruptive technologies;
• Relaxed dress code at the Marionete offices;
• An abundance of career paths and opportunities in which to advance;
• A flexible and hybrid work environment.

Marionete believes in providing equal employment opportunities to everyone. We do not practice and will not tolerate discrimination on the basis of race, skin color, ethnicity, national origin, gender, sexual orientation, marital status, maternity, religion, age, disability, gender identity, results of genetic testing, or service in the military.

By applying to Marionete vacancies, you agree that your data and CV remain secure and confidential with your application. Marionete is a company in compliance with General Data Protection Regulation (GDPR).