דרושים » תוכנה » business intelligence Developer

We are seeking an experienced Data Engineer with a strong background in BI and Data Engineering, excellent problem-solving skills, and the ability to work independently and learn quickly.
Role Overview
You will join a dynamic team responsible for designing and implementing end-to-end data solutions on the Microsoft Fabric platform. This role involves:
Building and maintaining robust data processes.
Driving adoption of new technology within the organization.
Ensuring scalability, performance, and reliability of data solutions.
Responsibilities:
Collaborate with leaders, stakeholders, and product managers to understand data requirements and deliver effective BI solutions.
Design, develop and maintain robust data pipelines for efficient data ingestion, processing, and storage.
Optimize data storage and retrieval processes for optimal performance.
Monitor data pipelines and systems consistently to identify performance issues, ensuring timely maintenance and troubleshooting.
Create and maintain documentation of data processes and systems.

This is a full-time/Part time role for a Qlik BI Developer Project Manager located on-site in Tel Aviv District, Israel. The Project Manager will be responsible for overseeing QlikView, Qlik Sense and Qlik Saas projects, working with cross-functional teams to identify business opportunities and provide customized solutions. The job includes managing timelines, and deliverables throughout the project lifecycle, ensuring that projects are completed on time, within scope.

We are looking for a hands-on, strategic Business Application Manager with a proactive, ownership-driven mindset. Someone who takes initiative, thinks beyond the immediate task, and translates data into real business impact.
This role requires a unique mix of systems expertise, project management, and analytical skills. Youll not only implement and optimize our platforms but also analyze ROI, create data-driven case studies, and help leadership make informed decisions.
Reporting to the VP of Customer Success, youll work cross-functionally with Sales, Marketing, Finance, Procurement, and Operations to ensure the company has the right tools, workflows, and insights to scale effectively.
This is part project manager, part systems owner, and part business analyst. Youll lead end-to-end implementations, integrate platforms like Salesforce, Intercom, Quicksight, create dashboards and reports, and drive process optimization across the business.

As a Senior BI Data Engineer, youll join a company where culture isnt a slogan - its our DNA.

Youll be part of a data-driven organization where every voice matters, working at the heart of our BI team to raise the bar for analytical excellence.

In this role, youll take end-to-end ownership of complex, high-impact BI initiatives, shaping how measures success, makes decisions, and scales. Your work will directly impact over 1M users worldwide, empowering B2B sales teams to unlock new revenue opportunities and drive sustainable growth.

What Youll Actually Do:

Lead the design and evolution of BI data foundations, owning key product and GTM metric definitions and data models
Build, scale, and maintain high-quality ELT pipelines and curated datasets (raw → modeled → semantic) that power dashboards and self-serve analytics
Collaborate closely with Data Scientists to operationalize machine learning use cases, including feature pipelines and analytical datasets
Take senior ownership within the BI team by mentoring peers, reviewing critical work, and promoting best practices in analytics engineering and semantic modeling
Own the performance, cost, and reliability of the data warehouse and BI layer by optimizing models, queries, and incremental processing patterns
Translate ambiguous business questions into clear, governed metrics and scalable data models, partnering with Product, RevOps/GTM, Finance, and Analytics
Establish and maintain strong data quality, observability, and monitoring practices (tests, SLAs, anomaly detection)
Drive standardization and automation across the BI development lifecycle, including version control, CI/CD, documentation, and release processes
Stay ahead of modern BI and analytics engineering trends, including AI-assisted development, and apply them pragmatically to increase trust and speed

We are looking for an experienced, proactive, and technically skilled Senior BI Engineer to take ownership of data products and business knowledge across our multi-brand ecosystem. You will be instrumental in designing the data architecture that drives global innovation and growth across the entire company.
What You Will Own and Deliver:
As a Senior BI Engineer, you will operate as a strategic partner, deeply leveraging our value of being obsessed with Data.
Domain Data Ownership: Become the go-to expert for high-impact domains like B2C Marketing and Supply, deeply understanding their metrics, business logic, and data needs to build comprehensive, accurate, and consolidated data models across all Travelier brands.
Strategic Architecture & Modeling: Design DWH to be AI-first, accessible by agents. Design, develop, and maintain advanced, scalable data models and ETL pipelines within our Google Cloud Platform (GCP) environment, focusing on performance, reliability, and cost optimization for petabyte-scale data. Modern Data Stack Implementation: Drive the adoption and best practices of our modern data stack, specifically leveraging DBT for data transformation, testing, and documentation, and Airflow for robust pipeline orchestration.
Executive-Level Product Development: Partner directly with executive management and business leaders across different global brands to translate complex, high-impact business questions into insightful, interactive BI products (semantic layers, self-service data models).
Technical Leadership & Mentorship: Act as a technical leader, mentoring junior team members on data modeling, SQL optimization, and data governance.
Data Governance & Quality: Enforce data governance standards, ensuring data quality, accuracy, and reliability across all owned domains in a consolidated environment.

We are looking for a BI Developer with 2 years of experience, strong technical skills, and a high motivation to learn and grow.
The role involves developing, maintaining, and improving BI processes across the organization, while working closely with multiple teams to implement new, cross organizational data solutions.
Responsibilities:
Develop and maintain reports and dashboards using Power BI to support data analysis, insights, and decision making.
Optimize queries and data processes to ensure high system performance.
Integrate data from multiple source systems into the companys BI environment.
Support and improve reporting and analytics processes for internal teams and project managers.
Work closely with business and technical stakeholders to understand business needs and translate them into BI solutions.

We are seeking a highly motivated and experienced BI & Data Engineer to join our fast-growing Data team. Reporting to our Development Team Leader. You will be supporting the team on all Data, pipelines and reports. Help turn raw data into business insights. Managing and designing BI solutions, including ETL processes, Data modeling and reporting. Our BI & data Developer would also enjoy our future data technological stack like: Airflow, DBT, Kafka streaming, AWS/Azure, Python, Advanced ETL tools and more.
Responsibilities:
Gathering requirements from internal customers and designing and planning BI solutions.
Develop and maintain ETL/ELT pipelines using Airflow for orchestration and DBT for transformation
Design and optimize data models, ensuring performance, scalability, and cost efficiency.
Collaborate with BI developers, analysts, AI agents, and product teams to deliver reliable datasets for reporting and advanced analytics.
Development in various BI and big data tools according to R&D methodologies and best practices
Maintain and manage production platforms.

Were looking for a Senior BI Developer whos excited about turning data into real impact.
In this role, youll be the force behind data-driven decision-making across the company, building scalable pipelines, smart data models, and BI solutions that power millions of users. Youll partner with Product, R&D, and Marketing to uncover insights, shape strategies, and keep us moving fast, and always two steps ahead.
If you love solving complex data challenges, thrive in an AI-first, open-minded environment, and want to see your work make a visible difference, youll feel right at home here.
Responsibilities
Be a Strategic Data Partner
Partner with Product, Marketing, and R&D leaders to understand challenges and propose solutions
Present insights confidently to all levels-analysts to executives
Translate business problems into technical solutions, understanding the "why" behind requests
Proactively identify data opportunities before being asked
Build BI Solutions
Design data marts (dbt + Databricks) and Tableau dashboards that teams rely on daily
Own full lifecycle: requirements → delivery → presentation
Ensure solutions are fast, reliable, and trusted
Elevate Team Standards
Set quality bar through excellent code, documentation, and communication
Mentor developers on SQL, data modeling, and dashboard design
Drive data governance and QA processes
Solve Technical Challenges
Turn high-volume, messy data into a reliable analytics infrastructure
Optimize performance and scalability
Lead technical initiatives (migrations, architecture improvements).

We're seeking a proactive Product Analyst to join our fast paced data group. This role requires a sharp analytical mind and a strong technical skill set to translate complex product and business problems into actionable insights
Responsibilities:
Partner with cross-functional teams including Business stakeholders, Product, Data Science, and Engineering to inform, influence, support, and execute product strategy
Design, execute, and analyze A/B tests to evaluate the impact of new features and product changes, driving iterative product improvement
Collaborate closely with the Data Science team to analyze Machine Learning models' performance and to suggest potential new features that can provide additional value
Own the data, understand its business purpose, and assure its ongoing quality by adding alerts to identify trends and anomalies
Develop and maintain comprehensive, user-friendly reports and dashboards for optimal monitoring and visibility
Present data-driven insights to stakeholders clearly and concisely, enabling informed decision making.

we are looking for a BI Frontend Tech Lead to join our data group!
our companys data group is in the middle of an exciting technological transformation. This transformation includes moving from an old school BI tool to a modern platform, remodeling our semantic layer, introducing conversational AI analytics and much more.
As our BI Frontend Tech Lead, you will be right in the middle of this transformation, as the owner of our new technologies and tools. You will define methodologies and best practices and enforce them. You will take part in the design, build and go-to-market of our new data models and applications. As the professional guide for the analyst teams, you will work closely with analysts across all domains, as well as the BI backend team responsible for the DWH. You will work with our business stakeholders, promoting adoption and usage of our data products.
Responsibilities:
Own our new BI tool (Sigma) as the professional expert, working with both the analysts and Sigma team to maximize productivity
Assimilate the new BI tool with our business stakeholders to provide maximum value
Own our Semantic model, via BI data models and later by introducing a semantic layer external tool (e.g. DBT semantic layer, Honeydew,..)
Define and enforce methodologies and best practices both for building data models and dashboards
Own our conversational AI analytics solution, ensuring it provides accurate and usable answers
Introduce additional AI based tools to enhance analysts efficiency, accuracy and productivity.