דרושים Data Engineer Analytics New ב-Melio ב-Israel, Tel Aviv-yafo

As an Information System Engineer, you will manage and optimize our IT infrastructure while implementing efficient access controls and automation across our enterprise systems and business platforms.

You will be responsible for our IT operations and enterprise systems management. You'll administer identity and access management platforms, manage business applications including project management tools, and build automation solutions that streamline IT service delivery and enhance employee productivity.

Qualifications:

- 3+ years of experience in IT operations, systems administration, or enterprise infrastructure

- Hands-on experience with identity and access management platforms

- Knowledge of access provisioning, user lifecycle management, and just-in-time access

- Experience with automation tools, scripting (Python, PowerShell), and REST APIs

- Experience with ITSM processes, ticketing systems, and service delivery

- Excellent troubleshooting skills and process improvement mindset

IT Infrastructure & Systems Management

- Manage IT service delivery, user support, and system performance across the organization

- Oversee system integrations, user provisioning, and comprehensive IT asset management

Identity & Access Management

- Administer SSO and manage user access across all enterprise systems

- Implement efficient user provisioning and de-provisioning workflows

- Maintain access controls and user lifecycle management processes

IT Operations & Service Delivery

- Develop IT automation solutions to streamline operations and reduce manual workload

- Create self-service IT capabilities and efficient onboarding/offboarding processes

System Administration & Optimization

- Implement IT operational improvements that enhance productivity and user experience

- Maintain documentation, change management, and IT service standards

- Partner with teams across the organization to understand and fulfill technology requirements

- Provide technical guidance on IT processes and system utilization best practices

- Troubleshoot and resolve issues across the entire IT ecosystem efficiently

- Design and enforce zero trust policies across development and operations infrastructure

Automation & Systems Integration

- Build and maintain API integrations between engineering tools and security platforms

- Develop custom automation solutions to eliminate manual administrative overhead

- Create self-service capabilities and streamlined onboarding processes

Security & Compliance

- Monitor and audit access patterns across all engineering systems

- Implement security controls that enable rather than hinder developer velocity

- Ensure compliance with security policies while maintaining operational efficiency

- Partner with engineering teams to understand infrastructure and workflow requirements

- Provide technical guidance on security best practices and access management

- Troubleshoot and resolve issues across the engineering operations ecosystem

As a
Data Product Manager, you will architect and oversee robust data foundation systems that enable the organization to efficiently collect, process, store, and leverage data at scale. You'll lead the development of mission-critical data infrastructure products with company-wide impact, addressing complex technical challenges and designing solutions that enhance data accessibility, reliability, and innovation across the organization.

We're looking for someone with a proven track record in technical product management and deep expertise in data infrastructure technologies to build scalable, resilient, and innovative data platform solutions.

Qualifications:

• A proven track record of over 4 years in Product Management roles with a strong focus on data infrastructure products like storage systems, ETL frameworks, or data orchestration platforms, GenAI products.
• Data is your second (or first) language. You can read and explain stats and define metrics to anything you want to measure.
• Hands-on experience with data and good familiarity with data solutions and technologies
• You are passionate about solving complex technical issues around data scalability, reliability, and governance, with a keen understanding of how robust infrastructure enables downstream data applications."How" is your keyword. You're curious about system architectures and constantly looking for ways to improve efficiency, reliability, and maintainability.
• You can drive collaboration across multiple disciplines—data, design, finance, ops, engineering, etc. You help give everyone a voice. You’re the conductor, not the lead singer, and softly leading without forced authority is key.
• You're fluent in English with excellent speaking and writing skills.
• BS in computer science, engineering or equivalent experience.

How you'll make an impact:

• Develop and execute a data infrastructure roadmap aligned with the company's technical strategy, building scalable foundations that support both current and future data initiatives.
• Identify opportunities and collaborate with stakeholders to design and implement capabilities like data lineage tracking, automated data quality monitoring, and self-service infrastructure components.
• Define both business and technical requirements for new data infrastructure initiatives, write clear and concise architecture documents, technical specifications, and other product documentation.
• Collaborate with platform engineering teams to build, deploy and scale infrastructure components that enable reliable data operations.
• Act as the bridge between infrastructure teams and data consumers (analysts, data scientists, ML engineers) to ensure the platform meets evolving needs.
• Define and monitor platform KPIs to assess infrastructure performance, measure reliability, and prioritize enhancements for maximum organizational impact.

About The Product Department

We are user experts and constantly analyze their current and future needs. We define the product roadmap, including features and requirements, and then articulate the business rationale behind it. The team is responsible for providing the ‘what’ and working with the engineering team to build a successful product.

As a, you will play a central role in shaping our data strategy and guiding the team in building and optimizing analytics data pipelines that power business decisions across the organization. Beyond driving complex data initiatives, you’ll be a hands-on mentor and technical advisor, supporting other data engineers, fostering a culture of collaboration, and ensuring the team’s overall growth and success.

• Lead and mentor a team of data engineers, providing technical guidance, support, and regular feedback to enable their growth.
• Architect, design, and evolve robust, scalable data pipelines and ETL/ELT processes for diverse structured and unstructured data sources.
• Serve as a technical advisor for data best practices across the organization, collaborating with data analysts, data scientists, engineers, and product managers.
• Define and evolve analytics-focused data models that empower business stakeholders with timely and reliable data.
• Drive initiatives to improve data quality, governance, and observability across the analytics stack.
• Act as a bridge between technical and non-technical stakeholders, helping translate business needs into actionable data solutions.
• Champion engineering excellence, including code reviews, documentation, and knowledge-sharing.

• 7+ years of experience in data engineering or related roles, with a proven track record of technical leadership and team support.
• Expertise in SQL and advanced proficiency in Python for data workflows.
• Extensive experience designing and implementing scalable, analytics-ready data models and cloud data warehouses.
• Hands-on expertise with data orchestration and transformation frameworks (e.g., Airflow, Luigi, AWS Glue, DBT).
• Strong familiarity with cloud data services (e.g., AWS, GCP, Azure).
• Demonstrated ability to lead and support teams, communicate effectively, and foster collaboration across functions.

• Experience mentoring or managing engineers in a fast-paced environment.
• Strong understanding of business metrics and how to translate data into strategic insights.
• Familiarity with data governance and observability best practices.
• Passion for building data culture and driving adoption of data tools across the company.

• Leading the most complicated data projects Melio has to offer Hands on
• Supporting other engineers by reviewing code, troubleshooting architecture, and encouraging best practices.
• Leading the technical direction of new pipelines or data modeling initiatives.
• Meeting with product managers and analysts to align on priorities and define the right data solutions.
• Guiding your team through design discussions, trade-offs, and implementation decisions.
• Helping the team deliver with high reliability, scalability, and speed.
• Driving initiatives that improve the maintainability, observability, and impact of the data platform.

Qualifications:

• 7+ years of experience in data infra or backend engineering.
• Strong knowledge of data services architecture, and ML Ops.
• Experience with cloud-based data infrastructure in the cloud, such as AWS, GCP, or Azure.
• Deep experience with SQL and NoSQL databases.
• Experience with Data Warehouse technologies such as Snowflake and Databricks.
• Proficiency in backend programming languages like Python, NodeJS, or an equivalent.
• Proven leadership experience, including mentoring engineers and driving technical initiatives.
• Strong communication, collaboration, and stakeholder management skills.

Bonus Points:

• Experience leading teams working with serverless technologies like AWS Lambda.
• Hands-on experience with TypeScript in backend environments.
• Familiarity with Large Language Models (LLMs) and AI infrastructure.
• Experience building infrastructure for Data Science and Machine Learning.
• Experience collaborating with BI developers and analysts to drive business value.
• Expertise in administering and managing Databricks clusters.
• Experience with streaming technologies such as Amazon Kinesis and Apache Kafka.

A day in the life and how you’ll make an impact:

You will:

• Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
• Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
• Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
• Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
• Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
• Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
• Partner with cross-functional teams to integrate data and machine learning models into products and services.
• Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
• Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

About the hiring department:

Read more about our Engineering department

Qualifications:

• 7+ years of professional experience as a software engineer with frontend and backend development.
• Experience working with at least one of the following frameworks: React/Vue/Angular.
• A deep understanding of production systems and the architecture of web products.
• Excellent knowledge of JavaScript/html5/CSS.

Bonus points:

• Independent, fast learner, and excited about learning new technologies.
• Proactive team player with a desire to impact our team, our product, and our customers.
• 1+ years of experience with Node.js is a big advantage.

A day in the life and how you’ll make an impact:

• Each member of our team is an all-around player who influences the product from the overall experience to the development.
• You’ll be using top technologies like React, Node.js, AWS, and scalable databases to build a unique experience in B2B payments.
• You should be passionate about engineering and building a product end-to-end, through the design, coding, testing, and deployment phases.

About the Engineering department:

Serverless gives us the freedom to build, scale and deploy applications faster than ever. We combine the usage of relational and document DBS, write mainly in TypeScript and Python for consistency and ability to share resources.

Read more about our Engineering department .

Minimum qualifications to apply for this role:

• 5+ years of experience as a Data Analyst
• SQL at a high level is mandatory
• An ability to understand complex ideas and simplify them to relevant stakeholders.
• Team player, effective interpersonal skills and good vibes. Manage relationships with key partners across different functions, ability to work independently
• Experience in fast-paced, high-intensity work environment
• Experience in BI tools such as Tableau, Redash or similar
• Experience in data modeling, ETL development, and data warehousing

Preferred qualifications (If you have those, we see it as advantage, but it's not a must)

• Experience in Python
• B.S in one of the following: Industrial Engineering, Statistics, Mathematics, Economics, or a related field.

How your day is going to look, what you will be doing?

- Helping each team to take decisions based on data by:

• Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights
• Define and implement KPIs across different teams
• Accompany product features from tech design to feature performance
• Translate product/business requirements to analytical logics, and create a very clear visualization which "tells the story" using a BI tool or other platform.

As a
DevOps Engineeryou will join our DevOps team that is passionate about getting to the bottom of the products’ needs, finding and implementing the best possible solutions, and empowering our engineering teams to move fast and deliver stable, secure and high-quality products. As part of the Platform Engineering group, you will have the drive to make sure that all the infrastructure is at its best from all aspects, from security to code delivery, in our almost completely serverless environment.

We aspire to be as serverless as possible and heavily use lambda functions, as well other AWS services such as SQS, SNS, CloudFormation SAM and RDS.

Qualifications:

• 5+ years of experience as a DevOps Engineer or in a similar role
• Significant experience working with AWS
• Extensive experience in CI/CD with a focus on integration security, including data protection, infrastructure, application operations, and comprehensive monitoring
• Experience with Terraform, CloudFormation or equivalent solutions
• Knowledge of observability and monitoring tools, with a focus on security
• Demonstrated ability to collaborate with cross-functional teams to execute project plans effectively.A deep understanding of production systems and scalable architecture
• You are Independent and proactive learner, excited about new technologies, and a team player eager to make an impact on the team, product, and customers.

Bonus points:

• Experience with serverless services
• Proficiency in Python, Node.js, or other scripting languages
• Experience in managing and provisioning databases.
• Expertise in DataDog

A day in the life and how you’ll make an impact:

You’ll Make An Impact On:

• Code delivery - CI/CD process. Making sure it’s as efficient as possible.
• Monitoring and visibility of our product’s alerts and metrics.
• Security - we believe that Sec is an integral part of the DevOps methodology and you’ll need to be aware of it in any decision you make.
• Infrastructure, entirely. Databases, lambda functions, 3rd party products etc.
• You will work closely with the engineering teams to empower them and provide them with guidance and seek to continuously improve processes across R&D.

About the hiring department:

The Platform engineering group is responsible for 2 main areas:

• DevOps - all Melio’s Devops engineers are building the engineering infrastructure and responsible for SRE (site reliability engineering) and DevX (Developer Experience)
• Platform Services - Common services that serves Melio’s products (Such as authentication service, file service, Notifications such as emails and SMS sent to users And developers’ common tool, templates and packages

Serverless gives us the freedom to build, scale and deploy applications faster than ever. We combine the usage of relational and document DBS, write mainly in TypeScript and Python for consistency and ability to share resources.

Read more about our Engineering department .