דרושים » דאטה » Senior BI & data engineer Developer

our companys data & AI Division is looking for a data Engineer to join a leading project! We are looking for a talented data Engineer with a passion for building modern cloud-based data platforms. In this role, you will design and develop scalable data pipelines, build and optimize data warehouse solutions, and ensure the delivery of high-quality, reliable data for analytics and business intelligence. You will work closely with BI developers and business stakeholders to transform complex data into trusted, analytics-ready assets while leveraging modern AWS technologies and AI-powered development tools. Key Responsibilities
* Design and build data warehouse tables and data models, including source-to-target (S2T) mappings based on a layered architecture.
* Develop ETL /ELT processes to extract, transform, cleanse, and migrate data from Oracle source systems into Amazon Redshift.
* Build and maintain automated data pipelines for scheduled data ingestion, validation, reconciliation, and ongoing refresh processes.
* Analyze and re-implement existing procedures and business logic, including complex calculations, as part of cloud migration initiatives.
* Develop outbound data interfaces to support integrations with external systems and public data platforms.
* Implement automated data quality and reconciliation processes while optimizing pipeline performance and cost efficiency.
* Leverage AI tools to accelerate SQL development, technical documentation, and data pipeline implementation.

About LiveU LiveU is the world leader in live streaming, providing high-quality, low-latency live broadcast from anywhere, anytime. We are looking for a BI Developer to join our MIS BI team and play a key role in building the data infrastructure that powers our business decisions. Role Overview As a BI Developer at LiveU, you will be a key member of the MIS BI team, responsible for designing, building, and maintaining scalable data solutions that enable data-driven decision-making across the organization. This is a hands-on, end-to-end role that goes beyond traditional frontend BI systems. You will take ownership of projects across the full data lifecycle — from source systems and backend integrations, through ETL/ELT pipelines and data transformations, all the way to dashboards, reporting layers, and user-facing BI applications. We are looking for someone who brings an AI-first mindset and leverages AI tools to improve development efficiency, automation, and data quality. We are looking for someone who combines strong technical capabilities with a business-oriented mindset. The role involves close collaboration with stakeholders across the company, including gathering requirements, leading discussions, planning projects, translating business needs into technical solutions, and driving initiatives from concept to delivery.

we are looking for a BI Developer to join our data & AI Division! If you're passionate about transforming data into business value and enjoy working with modern cloud technologies, this opportunity is for you. As part of our data & AI team, you'll work closely with business stakeholders to gather requirements, design BI solutions, develop dashboards, and deliver actionable insights using AWS technologies. You'll take part in end-to-end BI projects in a collaborative and innovative environment while leveraging AI tools to accelerate development and improve productivity.
* Gather business requirements and write BI specifications.
* Design, develop, and maintain dashboards and reports using AWS QuickSight.
* Build calculated metrics, KPIs, aggregations, statistical calculations, and business formulas.
* Develop data models and SQL queries to support reporting requirements.
* Create datasets, views, alerts, and push notifications for business users.
* Prepare dashboards and visualizations for embedding in web applications, including accessibility and mobile support.
* Write TEST scripts, execute testing, and resolve issues throughout delivery and acceptance cycles.
* Utilize AI tools to improve development efficiency, SQL generation, and documentation.

Were looking for a Data Engineering Team Lead to take ownership of Ports data engineering team and help shape the future of agentic engineering portals. This is a hands-on leadership role: youll guide a team, drive technical direction, and help establish Ports data warehouse both for product use cases and for internal business analytics.

What youll do:

were building a platform by developers, for developers. As a Data Engineering Team Lead, youll balance leadership and data engineering work - setting technical direction while enabling your team to thrive.

Your responsibilities will include:

Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements.
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs.
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into a shared data warehouse.
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency.
Develop and provide a data backend for product facing features such as usage analytics, data insights and enabling an agentic context lake
Collaborate with cross-functional teams (product, R&D, analysts) to deliver actionable data solutions tailored to their needs.

our company offers hope to patients suffering from rare and severe diseases by forming partnerships with emerging biotech companies to accelerate access to highly innovative therapies in international markets. As the creator and leader of the global partnership category in the pharma industry, we strive to be Always Ahead and work relentlessly to bring therapy to patients in need, no matter where they live. Our values are at the core of every action we take, and we are committed to going above and beyond to benefit the patients we serve. We are a dynamic, fast-paced company operating in over 34 countries on 5 continents. We are looking for out-of-the-box thinkers, people who are passionate, caring, agile, and adaptive, to join us on our mission. If you are looking to make a difference in people's lives, we invite you to join us! We are looking for a motivated and business-oriented data Engineer to join our global data & BI team. In this role, you will design, develop, and maintain modern data pipelines and data solutions that support critical business processes across the organization. You will work closely with global stakeholders, integrate data from multiple sources, ensure data quality and reliability, and contribute to modern data and AI initiatives. (*Please note, the internal title for this role is Senior data & BI Specialist, Business Technology.)
Responsibilities:
* Design, build, and maintain scalable ETL /ELT pipelines
* Develop and optimize complex SQL queries and data transformation processes
* Integrate data from internal and external systems, including APIs, databases, and third-party platforms
* Own data quality, monitoring, reliability, and governance processes
* Investigate and resolve data -related issues while supporting business users
* Take ownership of data workflows from design and development through production support
* Collaborate with global stakeholders to understand business requirements, analyze data discrepancies, and deliver reliable data solutions
* Design, develop, and maintain AI-powered data solutions that support business decision-making and operational excellence
* Build and implement monitoring capabilities (e.g. anomaly detection, forecasting, etc.) using modern AI capabilities
* Partner with business teams to identify opportunities for applying AI and LLM-based solutions to real-world business challenges.

We are looking for a strong, hands-on Data Engineer to join our team and play a key role in building our data infrastructure from the ground up. In this role, you will design and implement scalable data pipelines and platforms, supporting both batch and real-time use cases. You will work closely with analysts and stakeholders to deliver reliable, high-quality data solutions, and take full ownership of data flows - from ingestion to consumption. This is a great opportunity for an executor who enjoys building, moving fast, and making an impact.
What will your job look like?
Design, build, and maintain robust and scalable data pipelines (batch and real-time) end-to-end.
Design and implement scalable, flexible data architectures to support evolving business needs.
Build and manage data platforms, including data lakes and data warehouses.
Integrate multiple data sources (structured and unstructured) into a unified data platform using batch (ETL) and real-time streaming solutions.
Design and implement efficient data models, schemas, and database structures (SQL / NoSQL).
Develop and implement data quality processes to ensure accuracy, consistency, and reliability.
Monitor, optimize, and troubleshoot data infrastructure to meet performance and SLA requirements.

We are seeking a Data Platform Team Lead to play a pivotal role in building and maintaining our robust data platform. You will lead a talented team of data engineers ensuring a collaborative and high-performing environment within and outside the team.

The ideal candidate must have excellent business understanding, attention to detail, technical and analytical abilities, and a deep Data Engineeiring understanding. The candidate will be self-driven, independent, able to coordinate with different teams and groups and handle ambiguity well within the organization.

How will you contribute?
Provide technical leadership and direction for the data platform, including data pipelines, data lake, data governance, and data security.
Partner with data analysts and BI analysts to understand their needs and ensure the platform effectively supports their work.
Design, develop, and implement solutions to optimize data ingestion, storage, processing, and analysis.
Oversee data platform projects
Build self-serve accessibility tools and platforms for the entire company to use
Foster a culture of collaboration and continuous improvement within the data teams.
Mentor and develop the technical and analytical skills of the team members.
Stay up-to-date on the latest trends and technologies in data platforms and analytics.
Communicate effectively with stakeholders across technical and non-technical departments.

Required Software & Data Engineer
Tel Aviv
We are on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, we are recognized as the leading transportation technology and service provider globally.
As a Software & Data Engineer, you will play a central role in building and evolving the data infrastructure that powers one of the world's leading transportation platforms. You'll work with rich, complex transportation data - from ride bookings and payments to real-time operational signals - designing the pipelines and systems that turn raw data into clean, reliable, and actionable insight across the business. This is a high-ownership role on a talented and deeply motivated engineering team in Tel Aviv, where your work will directly shape how we understand and improve our service for cities and riders around the world.
About the Role:
Design and build highly scalable, reliable data pipelines that serve clean, structured data across our engineering, product, and business teams - ensuring the entire organisation can trust the data it works with
Own the architecture of complex data models that translate messy, real-world transportation data - bookings, payments, driver activity, and more - into systems that are fast, efficient, and built to scale
Lead end-to-end development across the full data lifecycle: from architecture and design through to deployment, monitoring, and continuous improvement
Proactively monitor data quality and reliability, identifying and resolving discrepancies before they reach stakeholders - building the kind of data infrastructure people can depend on
Collaborate with a broad forum of engineers, analysts, and business stakeholders to identify data needs, design POCs, and ship scalable solutions that make a real difference to how we operate
Contribute to the adoption and evolution of our modern data stack, including DBT, Airflow, Iceberg storage, and AWS big data tooling such as Glue, EMR, and Athena.