Data Engineering Manager jobs in Israel

At Lusha, we’re building for builders. We build fast and AI-first - so we look for builders. By a builder, we mean someone who turns “maybe” into “done”. We’re looking for a BI & Data Engineering Team Lead to join our BI team and take end-to-end ownership of high-impact analytics foundations while mentoring a team of 4-6 talented BI Data Engineers. This role sits at the core of how Lusha measures success, makes decisions, and scales—turning raw data into trusted, business-critical insights used across Product, GTM, and Finance. In this role, you'll combine people leadership with hands-on technical depth (roughly 30% of your time), owning the roadmap, architecture, and delivery of Lusha's BI platform. You’ll shape how AI and agentic workflows transform the way BI is built and consumed, helping raise the bar for analytics engineering across the company. Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed is a must for this role. This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office. This might be for you if: You enjoy owning data foundations end to end — from raw data to semantic layers while leading and growing people You like turning ambiguous business questions into clear, governed metrics and scalable data models You care about data quality, performance, and trust at scale, as well as optimization and FinOps practices You enjoy mentoring, setting technical standards, and leading by example with a hands-on approach (~30%) You actively leverage AI tools and agentic automations to improve development speed, analytical accuracy, and metric governance Requirements 6+ years of experience in Data Engineering / BI roles, including 3+ years leading and managing a data or BI team Proven experience owning scalable, end-to-end data ecosystems, including team roadmaps, architecture decisions, and cross-functional delivery Deep experience with modern data stacks (Databricks and/or Snowflake) and modern transformation frameworks Advanced SQL and Python skills, including data quality, CI/CD, and observability Strong understanding of dimensional modeling, data warehousing, and semantic layers Proven experience using GenAI tools and AI-assisted development (e.g., Claude Code) as part of your day-to-day development workflow A strong builder mindset, business orientation, and ability to lead cross-functional initiatives Nice to have: Experience leading a data platform migration Experience with incremental processing patterns and FinOps optimization practices

About the Role We are seeking an experienced Technical Team Lead to head the development of a new Cyber Platform. This is a hybrid, 50/50 role, splitting your time evenly between people management and core system architecture & development. You will lead a versatile engineering team composed mostly of Data Engineers, alongside Backend and Frontend developers. In this role, you will be responsible for a distributed microservices architecture, complex cyber-data fusion, and large-scale data pipelines under strict SLA constraints, operating in both public Cloud and highly secure, closed On-Premises environments. Responsibilities Leadership & Code Quality: Directly lead, mentor, and manage the team while actively conducting Code Reviews (CRs) and setting high engineering standards. Hands-on Development: Drive core system development (at least 50% hands-on) with a strong focus on Python. Architecture & Data Pipelines: Lead the design and architecture of distributed systems, high-performance data pipelines, and data-fusion algorithms. Environment Management: Build and deploy scalable solutions across both Public Cloud and secure, closed On-Prem environments. Optimization & SLA: Ensure data integrity and optimize complex bulk queries to meet strict response-time targets. Requirements Management: 3+ years of experience leading a development team or serving as a Tech Lead for data/backend teams. Python Mastery: 4+ years of hands-on experience with Python (Must). Data Engineering: 5+ years of proven experience as a Big Data Backend or Data Engineer. Environments & Infrastructure: Deep understanding of Cloud environments alongside containerized On-Prem infrastructure (OpenShift, Kubernetes, Docker, Linux). Databases: Strong experience with SQL and NoSQL (PostgreSQL and OpenSearch/ElasticSearch – a significant advantage). Data Ops & CI/CD: Proven experience processing large-scale data sets and working with CI/CD methodologies (e.g., GitLab). Education: BSc/BA in Computer Science, Software Engineering, or a related field. Advantages Background in the Cybersecurity industry or service in elite IDF technology units. Experience with vector embeddings and AI-based RAG systems. Experience with TypeScript (Frontend/Backend).

Description At ONE ZERO, Israel’s first fully digital bank, we’re building the technology that powers a new era of intuitive, transparent, people-first banking. As our platform grows and our services expand, we’re looking for a team leader to lead a data engineering team. The team is responsible for ingestion, processing, and serving bronze level data to other analytic teams in the organization. In this role, you will define the data architecture of our unified Data Lakehouse, own all ETL and streaming operations, define governance processes and implement tools, make sure our data is fresh, accurate and whole always. Your Day-to-Day • Mentor and lead a team of 4-6 data engineers. • Own sensitive data operations, including monitoring, on-call and production operations. • Build and manage all ETL and streaming operations related to the Data Lakehouse. • Develop, maintain, and optimize robust data pipelines and integrations across multiple systems. • Build a platform for other analytic teams to build data products on top of the Data Lakehouse. • Define and implement quality and governance processes to make sure data is fresh, accurate and whole. • Collaborate with engineering, BI, and business teams to translate requirements into scalable data solutions • Work hands-on with data orchestration, transformation, and cloud infrastructure (OCI, Snowflake, AWS) • Support implementation of best practices in data management and observability Requirements • 4+ year of direct management of team of 4-6 data engineers. • 8+ years in data engineering, data architecture, or similar roles. • Experience in financial systems or fintech (big advantage) • Deep hands-on experience with PostgreSQL, Snowflake, Oracle etc’ • Strong experience with ETL/ELT, data integration, Kafka, and other streaming solutions (must). • Proven SQL and Python skills (must). • Experience with cloud environments • Strong ownership, problem-solving ability, and communication skills • Comfort working in a fast-paced, multi-system environment

Description About the Role Our Data Technologies Group plays a strategic role in enabling data-driven decision-making across the organization. We are looking for an experienced Data Engineering Group Manager to lead our Data Platform, Backend, and Infrastructure engineering teams and drive the evolution of our enterprise-scale data ecosystem. In this role, you will be responsible for defining and executing the data engineering strategy, leading multiple teams, and delivering scalable, reliable, and cost-effective data solutions that support a wide range of business stakeholders. You will oversee the development and operation of high-scale batch and real-time data pipelines, ingesting and processing data from diverse internal and external sources. What you'll be doing • Manage teams of Data Engineers and QA members. • Take part in strategic decision-making for the Data Group. • Lead, coach, and support a team of Data Engineers. • Drive performance, team development, and hiring. • Take full responsibility for the delivery of development and QA tasks assigned to the teams. • Develop a strong understanding of both team technologies and business requirements. • Work with high-scale databases and provide Backend Data solutions from the design phase through development and delivery. • Work with Data technologies such as Microsoft SSIS, Apache Airflow, DBT, Snowflake, Elasticsearch, Kafka/MSK, Flink, Spark, and more. • Optimize platform performance, operational efficiency, cloud utilization, and infrastructure costs. • Establish production monitoring, observability, alerting, and incident management practices to ensure high service reliability. • Work with various stakeholders and applications across the company. • Bring proven experience leading Data Engineering managers and engineers in a large-scale, production-oriented environment. • Demonstrate a deep understanding of modern Data Platforms, Data Warehousing, Data Lakes, Data Governance, and Data Architecture principles. • Bring strong experience with cloud-native data technologies and distributed data processing frameworks. • Have a proven track record of building, scaling, and operating mission-critical data platforms that serve diverse business needs. • Combine a strategic mindset with hands-on technical depth and strong execution capabilities. Requirements What we're looking for: • At least 3 years of experience leading Data Engineering team(s). • At least 5 years of experience with ETL development in large-scale DWH environments such as Snowflake, BigQuery, Redshift, Azure, etc. Experience with Snowflake is an advantage. • Experience with Data Backend development technologies such as SSIS, DBT, Airflow, Flink/Spark, and Elasticsearch. • Experience with a programming language such as Python, Java, or a similar language. • Familiarity with AWS Cloud Services. • Experience with CI/CD methodology. • Bachelor's degree in Computer Science, IS Engineering, or a related field. • Highly motivated and independent. • High level of English proficiency. What we offer: Our roles offer more than just a job; you’ll become part of the evoke family! We have created an environment where our people can thrive. Check out some of the fantastic benefits on offer: • Hybrid work model • Free parking in the building + free electric car charging • Broad collective health insurance (with options for family members and extensions) • Birthday gift + day off during your birthday month • Refer a friend – bonus or gift card • HitechZone membership • Gifts on holidays and life events • Ten Bis More about evoke We’re a business that embraces change and progress. The power behind big name brands William Hill, 888 and Mr Green, evoke is the new name for 888 Holdings. Marking a new sense of purpose, direction and ambition for the business, there couldn’t be a more exciting time to join us as we accelerate our journey to bring even greater delight to our customers with world-class experiences. That’s the future. That’s evoke. At evoke, you’ll benefit from flexibility and a culture built on trust. We’ll give you the space to be yourself and the tools you need to protect our customers while they play. We’ll invest in your future to help you develop your unique strengths and build a career that’s right for you. Apply At evoke, we prioritize diversity, equity, and inclusion for the benefit of our company, employees, and communities. We foster a welcoming and safe workplace that values all forms of diversity and provides opportunities for growth. Sounds good? Then you belong at our place! The first step in the recruitment process is kickstarting your application, followed by an initial screening call and an interview stage. Apply today to kickstart your application with evoke!