Data Engineer

Description:

As our Data Engineer, you’ll use your passion for Technology and Data with Financial Services experience, to join our diverse team. You’ll be supporting solutions across one or more data application domains. All maintaining work life balance through hybrid working.

• Be able to clearly explain data and analytics strengths and weaknesses to both technical and senior business stakeholders
• Responsible for developing real-time ingestion and data transformation routines using Kafka and similar technologies
• Be involved in all aspects of the project life-cycle, including strategy, road-mapping, architecture and implementation to gain maximum exposure to set you up for a successful consulting career

Here’s our ‘wish list’ but don’t worry if you don’t tick all the boxes. We’re interested in your strengths, what you want to learn, and how far you want to go.

• Data pipeline development, including Azure Data Factory, AWS Kinesis, Spark (ideally 3+ Years)
• Strong problem solver, someone comfortable to challenge the status quo
• Experience in data and analytics approaches such as data mesh