Data platform engineer állások, munkák

• Formálni a banki adatplatform jövőjét, aktív részvétellel a Confluent streaming és Databricks alapú megoldások kialakításában.
• Közreműködni a Data Product szemlélet meghonosításában, a módszertan kidolgozásától a framework implementálásáig. 

• Data pipeline-ok tervezése, fejlesztése és karbantartása, nagy mennyiségű adat hatékony feldolgozására és tárolására
• Adattárolási struktúrák (pl. data lake, data warehouse) kialakítása és optimalizálása
• Adatpiacok (data mart) fejlesztése és üzemeltetése az üzleti igényeknek megfelelve

• Adat platform architektúra tervezés, data pipeline-ok tervezése nagy mennyiségű adat hatékony feldolgozására és tárolására
• Adattárolási struktúrák (pl. data lake, data warehouse) kialakítása és optimalizálása
• Adatpiacok (data mart) fejlesztése az üzleti igényeknek megfelelve

Be responsible for the overall operation and management of the company’s endpoint protection system, and continuously optimize endpoint security strategies....

• Design, implement, and maintain scalable and secure network and server infrastructure across all companies.
• Deploy, monitor, and maintain cloud and on-premise servers for production, staging, and development environments.

• Data Engineering fejlesztési projektek támogatása; 
• Projekt dokumentumok és információk beszerzésében, kezelésében, naprakészen tartásában való részvétel; 
• A projekthez kapcsolódó kutatómunka és fejlesztések elvégzése; 
• A projektekhez kapcsolódó prezentációk elkészítése; 

• Administer and support the ServiceNow platform 
• Continuously monitor and report on service levels, platform performance and health, proactively identify and resolve performance bottlenecks, implement performance tuning and optimization 

• Design, optimize, and maintain high-performance databases, data pipelines, and APIs for suena's energy trading and analytics platform.
• Model complex time-series data, enable robust integrations with modelling and data science teams, and ensure data reliability and scalability.

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

• Design, implement, and continuously improve an existing C++ service-oriented application built on Azure IoT
• Maintain high software quality standards through comprehensive unit and integration testing
• Develop and extend Python-based integration tests to automate end-to-end system testing

As a Software Engineer in Product Development, you are responsible for designing, implementing and continuously improving features that enhance the shopping experience....

Running a lot of builds and tests on a lot of architectures, operating systems, and devices. Collecting a lot of data and working collaboratively to brainstorm and build infrastructure and tools to make sense of it all. Building relationships that allow us to work together as a team, not a group....

Develop tools that enable large-scale forecasting and modelling of market sizes, market shares, and other key indicators across Statista's market insights coverage....

Develop and maintain data architecture: create and manage robust data architectures that support high-volume, high-throughput SaaS applications, focusing on reliability and scalability....

• You technically own and evolve our international analytics platform, driving a fully automated GitOps-style Infrastructure-as-Code (IaC) setup with Terraform on Azure
• You build reusable Terraform modules and manage remote state, versioning, and promotion across environments

• Architect and implement high-reliability backend services (using TypeScript & Rust) that support core blockchain-enabled products.
• Build APIs, data pipelines, and internal tooling to streamline platform scalability and performance.

• Collaborate with all departments to identify, document, and technically implement high-impact AI use cases across the our organization
• Design and deliver onboarding, workshops, and hands-on training sessions tailored to various teams and roles

• 6 weeks of holidays (with the option to buy up to 10 additional days)
• 40-hour work week
• 18 weeks of maternity leave and 6 weeks of paternity leave (also applies to adoption)
• Flexible working arrangements – we strongly value work-life balance
• Access to mental health, well-being, and counselling platforms

• Design and implement unified data platform architecture (data lake, data warehouse, streaming)
• Build scalable data ingestion pipelines for IoT sensors, transaction data, and external APIs
• Implement real-time data processing systems for operational decision-making

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....