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a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.

What You'll Do
Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives
Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores.
Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security
Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization
Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
Enhance the team's dev-ops capabilities.

We are looking for an experienced Cloud Data Presales professional who helps customers understand the possibilities of big data, analytics, AI, and ML across EMEA. As a Data Presales, you will be the first point of contact for the customer regarding data, and you will be responsible for defining the right data strategy for them. As a Data Presales, you will work closely with Data Architects, Engineers, and Project Managers. Perform feasibility analyses, present data use cases, simplify and hold presentations in front of IT and non-IT people, and position the topic of data and AI with customers.

Responsibilities:
Support the Sales team by explaining opportunities in Big Data, Analytics, AI, and ML.
Guide clients to understand data: opportunities, threats, and action plans.
Conduct interviews, brainstorming sessions, and workshops with client teams and executives on data-related topics and projects.
Develop strategic and action plans.
Collaborate with external vendors and partner technologies.
Comprehensive project and team management of Data Scientists, Engineers, and other stakeholders.
Be an online and offline ambassador for the data practice.

About Us: We are a pioneering fintech part of robust business foundation, dedicated to building the next generation of solutions and shaping the future of digital transactions. We are on the lookout for a dynamic and talented Data Analyst who will turn complex payment data into actionable insights, drive product innovation, develop advanced fraud prevention strategies and enhance the customer experience. Your work will empower analytics, support advanced initiatives, and enable innovative, data-driven decisions that fuel growth and transformation
Role Overview In this role, you will analyze, interpret, model and visualize data to support data-driven decision-making across the organization. You will be responsible for transforming raw data into meaningful insights, developing predictive models, reports and dashboards, and ensuring the accuracy and reliability of analytical outputs. We are looking for someone who is passionate about data, understands payment ecosystems, and thrives in a fast-paced, tech-driven and competitive environment.

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The ideal candidate is not afraid of data in any form or scale, and is experienced with cloud services to ingest, stream, store, and manipulate data. The Data Engineer will support new system designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. The candidate must be self-directed, a fast learner, and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers data architecture to support their next generation of products, data initiatives, and machine learning systems.

Summary of Key Responsibilities:
To meet compliance and regulatory requirements, keep our customers data separated and secure.
Design, Build, and operate the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL, cloud migration tools, and big data technologies.
Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operational problems.
Design, build, and operate large, complex data lakes that meet functional / non-functional business requirements.
Optimize various data types' ingestion, storage, processing, and retrieval, from near real-time events and IoT to unstructured data such as images, audio, video, documents, and in between.
Work with customers' and internal stakeholders including the Executive, Product, Data, Software Development and Design teams to assist with data-related technical issues and support their data infrastructure and business needs.

We are seeking a hands-on Data Engineering Team Leader to oversee our real-time data domain and lead the evolution of our data platform as it transitions from a heavy build-out to stability, quality, and scale.

This role is responsible for maintaining, hardening, and extending our event processing infrastructure, focusing on adding targeted real-time processing capabilities to support analytics and informed decision-making, our decisions are deeply data-driven. This critical role is centered on maintaining, hardening, and extending our event processing infrastructure, with a primary focus on adding targeted real-time processing capabilities. Your work will directly support our analytics and enable informed, data-driven business decision-making based on production data. Specifically, you will be responsible for the core data component of capturing the clickstream events from the website, which is the foundational functionality for all our analytics.

Looking forward, this role will help lead the team into its next phase: improving data quality and developer experience, investing in modern table formats (Iceberg), empowering analysts and data scientists, and continuously reducing cost and operational friction.

This is a player-coach role, combining hands-on technical leadership with ownership, prioritization, and mentorship.

What You'll Do
Own the end-to-end real-time and event data domain, including ingestion, processing, and downstream consumption.

Ensure stability, correctness, and observability of existing streaming and near-real-time pipelines.
Lead the design and implementation of select real-time processing components to support analytics and decision-making use cases.
Define clear ownership, SLAs, and best practices for event data usage across the company.
Lead the teams investment in modern data infrastructure
Drive architectural decisions with a long-term view on maintainability, cost, and scalability.
Team Leadership & Execution

Lead, mentor, and support a team of data engineers; set technical standards and review designs and code.
Act as a hands-on contributor in critical areas of the system.
Own planning and prioritization, balancing new investments with platform stability and technical debt.
Promote a culture of quality, documentation, and operational excellence.
Partner with Data Analytics and Data Science teams to improve data accessibility, trust, and self-service capabilities.
Improve observability across the data platform (data quality, freshness, lineage, failures).
Explore and adopt AI-assisted development tools to improve engineering velocity and code quality.
Stay current with emerging technologies in data engineering and analytics, and evaluate their relevance to the platform.

our company Security is one of the main pillars of our company's long-term strategy. We are pushing the boundaries of security analysis for both binaries and code, shifting left and delivering powerful capabilities to developers and DevOps teams. We are looking for an experienced Senior Database Engineer with deep PostgreSQL expertise and strong application-side awareness to join our DevOps organization and support multiple R&D teams at scale.
As a Senior Database Engineer at our company Security you will
Own PostgreSQL performance, scalability, and reliability across large-scale security and scanning workloads
Deep dive into database performance issues, including query optimization, execution plans, indexing strategies, locking, bloat, vacuuming, and connection management
Work closely with application teams to optimize database access patterns from services and APIs
Review application code and SQL usage with a focus on correctness, performance, and scalability
Design, evolve, and optimize schemas and migrations for long-lived, high-volume datasets
Support and fine-tune PostgreSQL in both cloud-managed environments, such as RDS and self-managed deployments
Establish best practices, standards, and guidelines for PostgreSQL usage across teams
Mentor engineers and raise the overall database maturity of the organization
Act as a trusted expert for troubleshooting complex production database incidents.

DRS RADA is a leading defense high-tech company specializing in radar systems development. We are seeking an experienced Data Engineer to join our data engineering team. In this role, you will play a crucial part in designing, developing, and maintaining scalable data pipelines and infrastructure to support our AI department. This is an opportunity to work with cutting-edge technologies in a fast-paced production environment, driving impactful, data-driven solutions for the business. Key Responsibilities:
* Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
* Work with a modern data stack, including Databricks (Spark, SQL), Apache Airflow, and Azure services.
* Troubleshoot and optimize queries and jobs for performance improvements.
* Implement best practices for data governance, security, and monitoring.
* Stay updated with industry trends and emerging technologies in data engineering. If you're passionate about building scalable data solutions and thrive in a fast-paced environment, we’d love to hear from you!