Senior Analytics Engineer
ConnecteamHRTech company
Tel Aviv, IsraelSenior
Stripes
Insight Partners
Tiger Global
Qumra Capital
O.G. Tech
D5 Capital
Data & AI
About the role
TL;DR
Design and build the engineering foundation that powers analytics across the organization.
- •We are building the next generation of our analytics platform combining strong data engineering foundations with AI-driven automation to dramatically accelerate analytics development across the company.
- •Key Responsibilities Building tools and workflows that automate analytics development, dashboards, and data exploration Design and build scalable data warehouse models and transformation layers Build and optimize ETL pipelines and core analytics infrastructure (Bronze / Silver) Improve performance, reliability, and scalability of the analytics platform Develop automation and internal tools that accelerate analytics workflows Enable self-serve data access across the company through semantic layers and reusable datasets Requirements 6+ years of experience in Data Engineering and Analytics Engineering roles, building modern data warehouses and analytics platforms using technologies such as BigQuery, dbt, and Python Experience with workflow orchestration (Dagster, Airflow, or equivalent) and building reliable, observable data pipelines Hands-on experience using AI coding platforms and tools to automate data engineering and analytics workflows Strong engineering practices including version control (Git), testing, code reviews, and CI/CD Experience building automation systems and internal tools for data teams Experience working closely with analysts, product teams, and business stakeholders in analytics-driven environments Strong problem-solving skills with a builder mindset
Required skills
BigQuerydbtPythonAirflowCI/CD
Nice-to-have skills
DagsterApache KafkaApache Flink
Tech stack
BigQuerydbtPythonAirflowDagsterGitCI/CDPandasNumPySparkApache KafkaApache Flink