Senior Data Engineer

We are looking for a Senior Data Engineer to join our strong Platform team.

The team's main responsibility is developing Voyantis' data platform - from ingesting all its data received from customer's data-lakes to allowing complex logic and pipelines to create machine learning insights and actionable decisions to drive the company's core product offering.

In this role you’ll be surrounded by curious and passionate team members who are hungry to make a real impact.

About Us:

Voyantis was founded in 2020 on the premise that market fundamentals are shifting companies worldwide from growth-at-all-costs strategies to efficient and responsible growth practices, with a focus on improving Unit Economics. With a bold mission to leverage AI to reimagine the whole Growth process, to streamline this transition and ensure its sustainability, Voyantis eliminates the guesswork from customer value creation, empowering leaders with actionable strategies and tactics to acquire, nurture and retain the high-value customers their businesses really need, with the actions and the timing that would be most impactful to achieve their goals.

Leading companies like Miro, Rappi and Moneylion rely on Voyantis to effectively apply these predictions. They use Voyantis to drive high-value customer acquisition on platforms like Google and Meta, optimize incentives through Salesforce and Braze, and perfectly time upsells, resulting in a 20%-40% ROI uplift.

Voyantis is well-backed by top VCs such as Target Global and SquarePeg. The company has tripled in size annually over the past two years and now boasts a team of 70 with offices in California, New York and Tel Aviv.

Responsibilities:

• Design & implementation of high-quality and large-scale cloud data infrastructure and pipelines with optimized performance and easy maintenance.
• Collaborate with cross-functional teams, including analysts, data scientists, researchers, developers and product managers to drive together the development of new products and features
• Monitoring performance and prioritizing work by making data-driven decisions
• Drive and coordinate cross-R&D product workflows and initiatives
• Participate in code reviews and ensure adherence to coding standards and best practices.

Requirements:

• 5+ years of hands-on experience in building large complex and scalable data infrastructures - including architecture design, research, development and testing. Experience with modern data lakes / warehouses such as Snowflake / Databricks and tools such as Spark, Kafka, BigQuery / Athena, Airflow / DBT / AWS Glue.
• BSc in Computer Science, Engineering or equivalent. MSc
• Solid understanding of software design principles - concurrency, synchronization, memory management, data structures, cost analysis.
• Experience with data governance practices - data security, regulation, and performance.
• A "can-do" attitude and a strong sense of ownership.
• A team player with excellent communication skills, independent learning capability and curiosity to explore new fields and achieve constant improvement

The following will be considered a plus:

• Experience with BI and analytics software such as Tableau / Metabase / Looker etc
• Containers and orchestration - Docker, K8S