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Senior Full Stack Developer – Frontend Orientation
Netanya, Center District, Israel · Remote OK
Senior
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About us Sharegain began with one question: If the largest institutions solely exercise the right to lend their stocks, bonds, and ETFs, what would it take to unlock this revenue opportunity for every investor? Our team …
Skills: Team Leadership, Data Engineering, SQL, Databricks, Azure
About us Sharegain began with one question: If the largest institutions solely exercise the right to lend their stocks, bonds, and ETFs, what would it take to unlock this revenue opportunity for every investor? Our team …
Skills: Data Engineering, Team Leadership, SQL, Databricks, Azure
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Full-time
Posted 15d ago
~40 hrs/week
Responsibilities
You will design, build, and maintain end-to-end data pipelines and machine learning models on the Databricks platform. Additionally, you will own the full MLOps lifecycle and collaborate with business teams to translate commercial questions into actionable data solutions.
Requirements
The role requires 5-8 years of experience in data science with at least 2 years of hands-on experience using the Databricks ecosystem. Candidates must demonstrate expertise in the full MLOps lifecycle and possess strong communication skills to engage both technical and non-technical stakeholders.
Full job description
About us
Sharegain began with one question: If the largest institutions solely exercise the right to lend their stocks, bonds, and ETFs, what would it take to unlock this revenue opportunity for every investor?
Our team of experts in the UK, US and Israel built the solution: a platform that empowers online brokers, private banks, and wealth managers to offer securities lending to their clients. We call it SLaaS: Securities Lending as a Service. It’s a fully digital, customizable, end-to-end solution that automates front- and back-office operations. Institutions and investors are now free to earn more from what they own.
Every Sharegainer has their own backstory, but we all share an ambition to do things differently – bigger, better, and greater. Together we’re on a mission to democratize capital markets by building a more liquid world. The more we share, the more we all gain.
About the role
The Role
We're looking for a hands-on, all-round data scientist who thrives on turning complex financial data into real business impact. This isn't a role for someone who stays in notebooks — you'll work across the full data and ML lifecycle, from raw pipelines to production models and back again, contributing meaningfully to how Sharegain understands its markets, clients, and risk.
You'll be embedded in a fast-moving fintech environment, working closely with data, engineering, and business stakeholders to solve problems that matter.
Responsibilities:
Design, build, and maintain end-to-end data pipelines and ML models on the Databricks platform, from ingestion through to business consumption
Own the full MLOps lifecycle — experiment tracking, model registry, deployment, monitoring, retraining, and deprecation — not just the modelling phase
Develop predictive models and analytics across securities lending, client behaviour, market dynamics, and risk
Collaborate with business teams to translate commercial questions into data problems — and data findings into decisions
Own data quality, lineage, and governance within your domain, working within Unity Catalog and Delta Lake frameworks
Build and maintain CI/CD pipelines for ML workflows, ensuring reproducibility and reliable delivery to production
Contribute to the evolution of Sharegain's data infrastructure and MLOps practices
Requirements:
5–8 years of experience in data science or a closely related role, with at least 2 years working hands-on with Databricks and the broader ecosystem (Delta Lake, MLflow, Unity Catalog, Databricks Workflows)
Demonstrated experience owning the full MLOps lifecycle end-to-end: from experiment tracking and model versioning through to deployment, monitoring, drift detection, and retraining pipelines
Track record of taking models from development to production and keeping them healthy over time
Comfortable across the full stack, data engineering, feature engineering, model development, and operationalization, not siloed in one area
Strong communicator who can engage both technical peers and non-technical stakeholders
An advantage
· Proven experience in financial services: securities, capital markets, wealth management, lending, or adjacent domains
Sharegain is the global leader in securities lending for retail-facing financial institutions. Its end-to-end solution gives brokers, banks and wealth managers everything they need to launch in weeks, not years. Sharegain’s solution allows them to unlock new revenue streams for themselves and their clients, with full control and transparency down to the underlying account and security level. Chosen by market leaders across the globe, Sharegain partners with them to service tens of millions of underlying retail client accounts.
Important disclosures apply: https://sharegain.com/disclosures/
Offices: 77 Leadenhall Street, London, England EC3A 1AT, GB · 5 Malacca Street, 3rd floor, Netanya, Central, IL · 60 Broad St, New York, NY 10004, US
How many Data & Analytics jobs are open in Netanya, Israel right now?
There are currently 75 open data & analytics positions in Netanya, Israel listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Netanya, Israel?
Companies currently hiring include Genpact, Bright Insights, Fetcherr, Sharegain, Teads, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Netanya, Israel?
Yes — 12 of the 75 open data & analytics positions offer remote or hybrid work (4 remote, 8 hybrid).
How do I apply for Data & Analytics jobs in Netanya, Israel?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.