Senior Data Engineer

Job type: Permanent
Contact name: Darren Dom

Contact email:
Job ref: 32365
Published: 21 days ago
Startdate: 13/07/2022
My client is seeking a talented individual to lead their Data Engineering. You'll partner and work closely with the co-founders and dev team to create ground-breaking technology. This is an incredible opportunity to make a meaningful impact on this company's future.
You'll be the first Senior Data Engineer, and you'll have a lot of autonomy and freedom to build out their core product. You'll have a huge impact on the engineering culture and be allowed to grow into a leader while having a large influence on other areas.
Their core tech stack is Python, Javascript, Node.js, and Pandas. We also use MongoDB, PostgreSQL, and AWS. We’re early stage, so this will evolve a lot and you will have a key role as an early team member in shaping their technical direction & choices.
They are driven by the belief that any industry will be disrupted by data, so they are here to build exclusive solutions that empower next generation businesses with data-driven insights.
Their mission is to track the entire private and public markets within one platform: market signals, search trends, social engagement, companies, talents, websites, mobile apps, games and much more.
They are a small team with an entrepreneurial “can-do” attitude and the ambition to become the leading data player in the technology space. We value and believe in innovation with an edge, teamwork, and having fun
- Have an impact and define the data architecture
- Develop and support software including applications, database integrations, interfaces, and new functionality enhancements
- Help guide their overall dev strategy through design, prototyping, and market research
- Report directly to their founding team
- Taking ownership of products and going all the way from ideation to shipping features
- We're early, so you'll have the opportunity to participate in decision-making on the technologies we use, and you’ll be influential in defining their engineering culture from the ground up
- Solid Python, SQL, Pandas, Postgres, and MongoDB experience
- Experience with developing and owning data pipelines end to end (ELT, ETL)
- Open source orchestrators like Prefect or Airflow
- Experience using data warehouses (SnowFlake, BigQuery, AWS Redshift)
- Web Scraping, JavaScript/NodeJS, Docker, and Kubernetes skills are a plus