דרושים » תוכנה » Senior Data Engineer

We are seeking an experienced DataOps Engineer (the first position in our data organization) to join our dynamic team of analytics experts. In this role, you will play a pivotal part in both data ops and data engineering functions, contributing to the enhancement and maintenance of our data integration and pipeline processes, as well as ensuring the robustness and scalability of our data platform.
The ideal candidate is someone who thrives in a fast-paced environment, adept at both data engineering practices and DevOps principles. You should be passionate about optimizing data systems and possess a strong desire to continuously improve our companys data architecture to support evolving products and data initiatives.
In this role, you will be responsible for:
Develop and maintain ETL/ELT/Streaming processes and SQL queries for efficient data movement.
Design and implement scalable, automated processes for large-scale data analyses.
Engage with stakeholders to understand data requirements and build datasets accordingly.
Collaborate with teams to enhance data models and promote data-driven decision-making.
Contribute to the long-term strategy and architecture of the data platform.
Maintain data lake pipelines and ensure adherence to schema standards.
Apply data security standards and seek ways to optimize data flow.
Serve as the point of contact to the DevOps team and handle MLOps operations.

We are seeking an experienced Data Engineer to join our dynamic team of analytics experts. In this role, you will play a pivotal part in both data ops and data engineering functions, contributing to the enhancement and maintenance of our data integration and pipeline processes, as well as ensuring the robustness and scalability of our data platform.
The ideal candidate is someone who thrives in a fast-paced environment, adept at both data engineering practices and DevOps principles.
You should be passionate about optimizing data systems and possess a strong desire to continuously improve our companys data architecture to support evolving products and data initiatives.
In this role, you will be responsible for:
Develop and maintain ETL/ELT/Streaming processes and SQL queries for efficient data movement.
Design and implement scalable, automated processes for large-scale data analyses.
Engage with stakeholders to understand data requirements and build datasets accordingly.
Collaborate with teams to enhance data models and promote data-driven decision-making.
Contribute to the long-term strategy and architecture of the data platform.
Maintain data lake pipelines and ensure adherence to schema standards.
Apply data security standards and seek ways to optimize data flow.
Serve as the point of contact to the DevOps team and handle MLOps operations.

We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with business orientation, working closely with the analysts and the R&D team, and affecting the company's cross-departments decisions directly. Our Data Engineer should have the ability to speak in technical and practical terms, and more importantly, lead from one to the other, while dealing with challenges and creating them - to make our team even better than it is.
Roles and Responsibilities:
Creating and structuring end-to-end data pipelines & ETLs: from the source all the way to the analysts hands, enabling them the ideal conditions to make smart and data driven business decisions.
Cracking top industry data challenges while initiating and building creative technical solutions - in house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline and more.
Deep understanding of the business needs, technical requirements and the companys roadmap - and translating it into custom made data solutions and scalable products.
Craft code following best practices to ensure efficiency, while integrating CI/CD principles.
Writing multi-step scalable processes from more than 50 data sources - Marketing. Operations, CS, Product, CRM and more... tying them up to a valuable & useful source of insights for the analysts.
Understanding data challenges and weaknesses, and managing high standards monitoring and reliability processes.

As a Data Engineer, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization.
This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.
Responsibilities:
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

We are is looking for experienced technologists with a combination of technical depth and excellent interpersonal skills to join the EMEA Prototyping team as Prototype Architect (PA). The PA will join a newly created group of hands-on developers focusing on the Israel market.

The PA will work on multi-week customer prototypes through collaborative projects with developers and solution architects from customers, partners and other stakeholders. A prototype brings technology and business concepts together and is a real technical implementation of a solution to a customer's business challenge. As a PA, you would focus on co-developing solutions on us with customers and enable them to ramp up as builders and take forward the implementation to production.

The ideal candidate for this role should combine hands-on development with solution architecture skills, and demonstrate a good understanding of the company`s services portfolio with experience building solutions following cloud architecture, security and operational best practices. Interest and experience with Generative AI is a plus for this role. The PA is expected to ideate and implement technical architectures addressing customer needs while working closely with specialist resources for domains requiring deep expertise

Key job responsibilities:
- Support the Prototype Engagement Manager in Israel and other local stakeholders in the technical qualification and scoping of new prototype opportunities.
- Lead the design and implementation of prototype architectures addressing customer needs working together with prototyping architects, solution architects and other stakeholders, with focus on Generative AI technologies.
- Deliver 3 to 8 weeks hands-on prototype projects with customers and partners, in agile and collaborative development engagements.
- Drive continuous technical enablement and knowledge transfer to customers and partners involved in prototype engagements.
- Develop and present technical demonstrations to Senior Business and Technical leaders, and document projects as appropriate.
- Proactively collaborate with the wider community such as Solutions Architect, Service and Solution teams to ensure optimal customer outcomes during engagements.
- Proactively develop reusable technical assets from customer engagements and promote within the EMEA and worldwide company`s SA community.

Were looking for an exceptional Data Team Lead to lead our data analytics team and transform the scraping industry. As a Head of Data, you will be a major focal point in the company, lead a team of data professionals and work closely with cross-functional teams to ensure data-driven decision-making and impactful insights.
What Youll be Doing:
Provide strong leadership and mentorship to a team of data analysts and data engineers by setting clear goals, providing regular feedback, and ensuring the teams professional growth and development
Work closely with Product, Sales and CS teams to gather needs for data insights and reports within the company
Own internal data in the company, including product and business analytics, end to end and be responsible for its delivery, infrastructure, accuracy and integrity
Work closely with the product team to lead data features of our own customer facing analytics dashboard
Lead the analysis of complex datasets to extract valuable insights, trends, patterns and anomalies that drive strategic decisions
Present findings and actionable insights to senior management and cross-functional teams
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth ץ

The PA will work on multi-week customer prototypes through collaborative projects with developers and solution architects from customers, partners and other company`s stakeholders. A prototype brings technology and business concepts together and is a real technical implementation of a solution to a customer's business challenge. As a PA, you would focus on co-developing solutions on us with customers and enable them to ramp up as builders and take forward the implementation to production.

The ideal candidate for this role should combine hands-on development with solution architecture skills, and demonstrate a good understanding of the our services portfolio with experience building solutions following cloud architecture, security and operational best practices. Interest and experience with Generative AI is a plus for this role. The PA is expected to ideate and implement technical architectures addressing customer needs while working closely with specialist resources for domains requiring deep expertise.

Key job responsibilities
- Support the Prototype Engagement Manager in Israel and other local stakeholders in the technical qualification and scoping of new prototype opportunities.
- Lead the design and implementation of prototype architectures addressing customer needs working together with prototyping architects, solution architects and other stakeholders, with focus on Generative AI technologies.
- Deliver 3 to 8 weeks hands-on prototype projects with customers and partners, in agile and collaborative development engagements.
- Drive continuous technical enablement and knowledge transfer to customers and partners involved in prototype engagements.
- Develop and present technical demonstrations to Senior Business and Technical leaders, and document projects as appropriate.
- Proactively collaborate with the wider community such as Solutions Architect, Service and Solution teams to ensure optimal customer outcomes during engagements
- Proactively develop reusable technical assets from customer engagements and promote within the EMEA and worldwide our SA community.

We are seeking a Senior DevOps Engineer to join our team.
As a DevOps Engineer and lead the effort in designing, building, deploying and maintaining our companys infrastructure, deployment pipelines, and continuous integration/delivery workflows.
You will work closely with development teams to ensure efficient and reliable software delivery, as well as identify and implement improvements to our systems and processes.
Responsibilities:
Design, implement, and maintain highly available and scalable infrastructure on cloud platforms such as AWS, Azure, or GCP.
Build and maintain deployment pipelines
Design and implement data pipelines to support various data processing needs across the organization.
Work closely with development teams to ensure code is deployed efficiently and reliably while maintaining high standards of security and performance.
Identify and implement improvements to our systems and processes, including automation and monitoring solutions.
Troubleshoot and resolve issues related to infrastructure and deployments.
Collaborate with cross-functional teams to ensure seamless integration of new features and technologies.

We are looking for a Backend Software Engineer - Senior/Lead. JR245034
As a Backend Software Engineering, your job responsibilities will include:
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level).

We are looking for a talented Data Practitioner to join our team and revolutionize the world of external data! In this role, you will be in charge of designing, implementing, testing, deploying, and maintaining our data products, which include data pipelines and ETL processes.
Additionally, you'll harness cutting-edge data science and engineering technologies, such as DBT, Databricks, and Large Language Models (LLMs), to create novel solutions that address complex business challenges.
This role demands strong technical skills alongside a deep understanding of various business contexts, making it ideal for someone passionate about employing the latest technologies to produce meaningful and impactful business outcomes.
Responsibilities:
Lead the development of data products, effectively translating business needs into actionable technical specifications.
Employ cutting-edge technologies including DBT, LLMs, and GenAI to push forward our data science and engineering practices.
Take charge of the entire data product lifecycle, from the creation to the maintenance of ETLs and real-time data pipelines.
Use data science tools to extract actionable insights and valuable business indicators from large datasets.
Ensure high reliability and performance of production systems through robust testing, monitoring, and alerting procedures.
Conduct data analysis across various sources, bringing valuable insights to products and catering to sectors like manufacturing, CPG, and SaaS.