לוח משרות דרושים הייטק דאטה עבודה היברידית

We're seeking an outstanding and passionate Data Platform Engineer to join our growing R&D team.

You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping Finaloop's data infrastructure at the forefront of Fintech and AI.

What you'll do:

Design, build, and maintain scalable data pipelines and ETL processes for our financial data platform.

Develop and optimize data infrastructure to support real-time analytics and reporting.

Implement data governance, security, and privacy controls to ensure data quality and compliance.

Create and maintain documentation for data platforms and processes.

Collaborate with data scientists and analysts to deliver actionable insights to our customers.

Troubleshoot and resolve data infrastructure issues efficiently.

Monitor system performance and implement optimizations.

Stay current with emerging technologies and implement innovative solutions.

Responsibilities:
Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Optimize and monitor the team-related cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.
Implement CI/CD for Data Workflows.

Were looking for a Senior Data Architect to help shape how high-growth startups build and scale on AWS. In this role, youll design and deliver end-to-end data and analytics solutions - from architecture and pipelines to visualization and insights - guiding customers from concept through production. Youll work closely with startup founders, technical leaders, and account executives to create scalable, cost-efficient architectures that drive real business impact.
📍 Work location - hybrid from Tel Aviv
If you are interested in this opportunity, please submit your CV in English.
Responsibilities:
Design, develop, and implement data & analytics solutions to meet business requirements and create cost-efficient, highly available, and scalable customer solutions, including Well-Architected reviews and SoW.
Research and analyze current solutions and initiate improvement plans.
Collaborate with other engineers and stakeholders to ensure solutions are designed and developed according to best practices.
Lead workshops, POCs, and architecture reviews with startup customers, conferences, webinars, and more.
Stay up to date on Data Engineering and Analytics trends and contribute to internal enablement.
Frequent travels - locally (on-demand to meet with customers and partners and attend local events) and abroad (at least once a quarter).

Required Head Of Tech Data
About you
As our Head of Tech Data, you will be a senior member of the Tech Leadership team, responsible for defining and driving our Tech Data strategy across the organization.
This is a foundational leadership role. You will shape how data is consumed across our technology organization, from principles and operating model to tooling, metrics, and ways of working. You will assess our current state, identify the most meaningful gaps and risks, and define where data can create the greatest impact for our teams and products.
You will operate comfortably at both the strategic and execution levels, influencing leadership decisions, aligning senior stakeholders, and getting hands on when needed. You will lead the creation of standards, frameworks, and best practices that scale and have lasting impact, while working closely with Product, Design, Engineering, and the broader Data organization.
Job responsibilities
Lead and develop the Product Analytics team within Tech.
Define and own the Tech Data strategy, shaping how data supports decision making across the organization.
Act as the strategic and technical authority for Tech Data, assessing current practices and setting the operating model, infrastructure, standards, and roadmap.
Establish clear ownership and governance to ensure consistency, quality, and trust.
Partner closely with Engineering, Product, Design, and Data to embed data into every stage of the development lifecycle.
Drive innovation in Tech Data, including the use of AI to enable speed & scale.
Establish Tech Data metrics and reporting that give leadership visibility and support clear, actionable decisions.
Own the lifecycle of data products, from discovery and modeling through KPI definition, adoption, and maintenance.
Shape and lead company KPIs, ensuring consistency across dashboards & AI outputs.
Ensure data products are trusted, scalable & used to drive measurable impact.

We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team.
Youll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep our data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers - while collaborating closely with product, DevOps and analytics stakeholders.
About the Platform group
The Platform Group accelerates our productivity by providing developers with tools, frameworks, and infrastructure services. We design, build, and maintain critical production systems, ensuring our platform can scale reliably. We also introduce new engineering capabilities to enhance our development process. As part of this group, youll help shape the technical foundation that supports our entire engineering team.
Job responsibilities
Code & ship production-grade services, pipelines and data models that meet performance, reliability and security goals
Lead design and delivery of team-level projects - from RFC through rollout and operational hand-off
Improve system observability, testing and incident response processes for the data stack
Partner with Staff Engineers and Tech Leads on architecture reviews and platform-wide standards
Mentor junior and mid-level engineers, fostering a culture of quality, ownership and continuous improvement
Stay current with evolving data-engineering tools and bring pragmatic innovations into the team.

We are seeking an experienced and visionary Data Science Team Lead to join our dynamic technology organization. The successful candidate will lead a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, exceptional leadership skills, and a passion for continuous learning and development.
Responsibilities
Lead, mentor, and develop a team of data scientists both methodologically and technically to deliver high-impact projects aligned with our business objectives.
Design, implement, and optimize classic machine learning models to solve complex business problems.
Apply gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs) to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization.

Were looking for a Senior BI Data Engineer to join our BI team and take end-to-end ownership of high-impact analytics foundations. This role sits at the core of how we measure success, makes decisions, and scales - turning raw data into trusted, business-critical insights used across Product, GTM, and Finance.
Youll design and evolve data models, pipelines, and the BI layer, work closely with Data Science and business stakeholders, and help 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
You like turning ambiguous business questions into clear, governed metrics
You care about data quality, performance, and trust at scale
You enjoy mentoring, setting standards, and leading by example
You actively leverage AI tools to improve development speed and analytical accuracy

Were looking for a Data Engineer to build and scale the data infrastructure behind our Sales Streaming platform. This role is about owning pipelines that process massive volumes of data and power real-time, AI-driven features used by millions of sales professionals.
Youll work end to end - from data lakes to real-time streaming - collaborating closely with Data Science, ML, and Product teams to turn complex data into high-impact product capabilities.
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 building data systems that run at scale and serve real users
You like owning your work end to end, from design to production
Youre a problem solver who enjoys turning messy data into reliable systems
You value autonomy, impact, and fast decision-making
Youre comfortable working in dynamic, AI-forward environments.

Were looking for a Senior Data Analyst to join our Data Group and play a central role in how data drives our product. This role sits at the intersection of data, product, and business, turning complex datasets into insights that shape decisions and impact hundreds of thousands of users.
Youll own analytics end to end for a core dataset, work closely with Product, R&D, and Data Engineering, and help define how data quality, enrichment, and performance are measured and improved.
Hands-on experience using GenAI to accelerate analysis, automate workflows, improve data exploration, and enhance insight generation 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 domains end to end and being the go-to expert for your dataset
You like working on complex, high-impact data problems that affect product and users
Youre comfortable partnering closely with Product, R&D, and Data Engineering
You enjoy turning deep analysis into clear, actionable insights
You actively leverage AI tools to improve analytical speed, quality, and decision-making
You care about ownership, outcomes, and real impact

Were looking for a Senior Data Analyst who combines strong technical skills with a strategic mindset and curiosity for how data drives user experience and growth in social mobile apps. Youll partner closely with product, engineering, and marketing teams to turn data into clear insights and measurable business impact.
If youre passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; wed love to hear from you!
Responsibilities:
Identify opportunities for improvement through data analysis aligned with company strategy.
Partner cross-functionally to translate data findings into actionable product and business decisions.
Design, run, and analyze A/B tests to evaluate product changes and user experience optimizations.
Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.
Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.
Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.

We are seeking a highly skilled Senior Data Analyst with strong technical expertise and a passion for analysing and optimising the performance of mobile dating applications. The ideal candidate will bring a data-driven mindset and experience working in fast-paced digital environments
If youre passionate about the data analysis, and driving business growth through insights, wed love to hear from you!
Responsibilities:
Identify improvement areas through data analysis, aligned with the companys strategic vision and goals.
Collaborate with cross-functional teams to translate data findings into business strategies.
Define, conduct and analyze A/B tests to evaluate the effectiveness of different product initiatives.
Developing and monitor dashboards and reports that provide visibility into platform health, user behavior, and key usage trends for stakeholders.