Senior Data Engineer, DICE

• Proven experience as a Data Engineer with expertise in building solutions, whilst also bringing a strategic outlook
• Experience of building at scale, high-reliability end-to-end data solutions, both batched and streamed pipelines
• Knowledge in data engineering best practices and evidence of successful implementation
• Excellent knowledge of various data warehousing technologies for gathering and consolidating data from multiple sources, including streaming and serving real-time data
• Experience with streaming technologies such as Kafka or similar
• Experience of workflow orchestration software such as Prefect or similar
• Experience of Agile methodologies, DevOps, CI/CD, Docker/Kubernetes and infrastructure-as-Code e.g. Terraform
• Solid development experience with Python (other programming languages is a plus)
• Advanced SQL skills (Relational Querying) , e.g. Postgresql or similar, and knowledge of NoSQL DBs
• Extensive knowledge of AWS tech stack
• Excellent knowledge of UNIX, Github
• Passionate, humble and talented
• A fan of music and culture
• Actively responsible
• A problem-solver
• Inspiring and collaborative
• A great communicator
• A role model and mentor for other data engineers

Desirable

• We’re looking for a Senior Data Engineer to join our rapidly evolving Data Platform team, to help us scale our data platform to make DICE more reliable and impactful for its partners and customers
• You’re an experienced individual who is passionate about building and scaling data platforms, and comfortable supporting the diverse needs of multiple teams
• You’ll be in an inspiring and fast-moving environment as part of a cross-functional team, working closely with developers, data scientists, data analysts, data engineers and product managers
• You’ll be building data tools, designing highly-scalable systems, and testing theories to arrive at essential insights that will help disrupt a global industry
• You will contribute to improving our ways of working and establishing standards across the data team
• Joining a team of experienced engineers to work on our data platform. That can include deprecating legacy systems, and building new solutions
• Working with Product Managers and other engineers to support the formulation and implementation of a data engineering strategy
• Having the opportunity to take ownership of end-to-end projects that are aligned with our business objectives, and planning a roadmap for its delivery
• Bringing the team to a higher level of technical maturity, by establishing best practices, overcoming siloed thinking, and encouraging collaborations
• Actively liaising with the engineering manager and product manager for the data platform team, Data Engineers, Analytics Engineers, Data Analysts and Data Scientists to build the most optimal solutions for DICE

• Apply via Otta
• Your application is reviewed by our hiring team
• If you're successful, you'll get an email from us inviting you to a preliminary chat with one of our Recruiters.
• Next step is a call with the Hiring Manager and someone else from the hiring team
• Task stage next, your Recruiter will outline the expectations from the task and explain next steps for presenting back to the team.
• Your task review - followed by a final chat with one of the Senior members of the team.