דרושים » דאטה » Data Science Team Leader

We are looking for a Data Team Lead to join our Harmony SaaS Group.
This person is passionate about data analytics, cybersecurity, SaaS research, and building scalable data processes. You are driven to solve complex data challenges, lead strategic planning, and generate actionable insights that support both security and business objectives.
We use an interesting and mixed technology stack: SQL, Python, BigQuery, GCP, and more.
In this position, you will use your expertise in leading analytical initiatives, managing large-scale data environments, and driving cross-functional collaboration. You will lead a team of analysts, create and optimize data workflows, align with stakeholders, and build efficient, repeatable processes for delivering high-impact insights.

Key Responsibilities
Manage and guide a team of data analysts, ensuring effective collaboration and accurate delivery.
Research SaaS applications and security trends to identify opportunities for automation and data enrichment.
Deliver data-driven security insights and recommendations to stakeholders and clients.
Actively contribute to team processes by shaping and improving workflows for higher efficiency.
Operate with a high level of autonomy, knowing when to escalate, seek feedback, or adjust team practices as needed.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 5,000 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.

We are looking for a Data Engineering Team Lead to drive the development and optimization of our data infrastructure.

Why is this role so important at Similarweb?
In this role, you will lead a team of data engineers, collaborating closely with cross-functional teams to design, build, and maintain scalable, efficient, and reliable data solutions. You will be responsible for architecting and implementing data pipelines, integrating complex data models, and ensuring data integrity to support business intelligence and analytics needs.




So, what will you be doing all day?

Lead & Mentor: Provide technical leadership and mentorship, setting clear goals, fostering innovation, managing stakeholders and guiding the professional growth of the team.
Data Infrastructure Development: Design and enhance scalable data architectures and pipelines to support current and future business needs.
ETL & Data Processing: Develop and maintain ETL processes, integrating data from various sources (APIs, databases, external platforms) using Python, SQL, and cloud technologies.
Cloud & Big Data Technologies: Implement solutions using PySpark, Databricks, Airflow, and cloud platforms (AWS) to process large-scale datasets efficiently.
Monitoring & Optimization: Ensure system reliability, observability, and performance using monitoring, logging, and alerting tools.
Collaboration & Stakeholder Engagement: Work closely with BI analysts, business stakeholders, and cross-functional teams to define data requirements and enable self-service BI capabilities.
Data Modeling: Design and maintain logical and physical data models to support analytics and operational needs.

Were looking for a team leader to manage 2 data teams: our AI Analysts team and our Data Labeling team. The AI Analysts team manages end-to-end data processes for training and evaluating AI models. The Data Labeling team specializes in creating high-quality manual labels. In your day-to-day, you will:



Lead and oversee a team of 4 AI analysts while also managing the team lead who directs a separate team of 6 labeling experts

Drive professional development through mentorship while implementing structured processes to optimize productivity and workflow efficiency

Collaborate with cross-functional stakeholders to align data strategy with broader business objectives and AI initiatives

Establish quality standards and evaluation frameworks for data curation and model validation processes

Balance resource allocation across multiple concurrent projects while ensuring timely delivery of high-quality data assets

Take a significant role exploring innovative approaches to data curation and evaluation methodologies that advance our AI capabilities