Data Platform Engineer

Love Data and Platform Engineering?

This is your chance to join an exciting scale-up that has developed an AI-driven platform to help large enterprises, private firms, and VC companies find the top scientists, engineers, and researchers. With over one billion data points extracted from eight terabytes of data spanning a decade, you’ll thrive in a fast-paced, agile environment with a robust engineering culture.

As a Data Platform Engineer, you will be at the forefront of designing and maintaining data processing pipelines that handle vast amounts of information. You will ensure data quality, integrity, and security while collaborating with cross-functional teams to tackle complex data challenges. Staying current with the latest trends and technologies, you will drive continuous improvement and innovation in their data processing domains.

To be suitable, you are someone who is experienced in working within a heavy AWS environment, with strong capabilities in data security, management, Dev Ops, and software engineering. Your critical and statistical thinking skills and passion for solving complex problems will be invaluable. You are proficient in SQL and Python, with experience in AWS services such as Athena, S3, Glue, and Spark, and you are adept at handling big data technologies and orchestration tools.

If you’re highly technical, client facing, and passionate about Observability, this is the role for you! A lover of Linux, automation, containers, bare metal environment? Well, this is the right role for you.

As data volumes surge and observability costs climb, this is a rare opportunity to join a high-growth SaaS company at the forefront of modern observability, helping companies tackle these challenges with smarter, more scalable solutions.

We are an equal opportunities employer and welcome applications from all qualified candidates.