Lead Data Engineer

Join our dynamic team as a Senior Data Engineer specializing in the Power Platform at Deutsche Telekom IT Solutions in Budapest. In this pivotal role within our international Common Data Intelligence Hub, you will enhance our Cloud Data & Analytics Platform by serving as the crucial link between Self-Service BI teams and the Azure Lakehouse backend.Our Cloud Data & Analytics Platform integrates Azure Lakehouse technologies (Data Factory, Databricks, dbt, CDC Framework) with Microsoft Power Platform services (Power BI, Power Apps, Power Automate, SharePoint Online). This innovative platform empowers business units to develop and manage their own analytics and reporting solutions while adhering to enterprise-level security, governance, and data management protocols.As a Senior Data Engineer, you will ensure that self-service solutions operate efficiently, securely, and reliably in accordance with established standards. You will provide guidance and support to business and data teams, helping them navigate the technical framework, governance principles, and best practices for sustainable analytics solutions. Collaboration with platform engineers will be key to maintaining operational alignment between the Power Platform frontend and the Lakehouse backend.Platform Operations & Maintenance:Ensure the reliable operation and performance optimization of Power Platform components (Power BI Service, Power Apps, Power Automate, SharePoint Online) within the Cloud Data & Analytics Platform.Monitor platform usage and performance to guarantee optimal resource allocation and cost efficiency.Manage Power BI gateways and secure data connections to the Azure Lakehouse backend (ADF, Databricks, dbt, CDC Framework).Oversee role-based access control (RBAC) and workspace permissions in line with corporate governance and Azure security principles.Optimize data refresh and load processes to maintain the freshness and stability of analytical datasets.Work closely with platform engineering teams to address incidents, coordinate upgrades, and implement technical improvements across both frontend and backend layers.Create standardized operational dashboards and reports to enhance transparency regarding platform usage, capacity, and performance metrics.Governance & Best Practices:Consult and coach Self-Service BI teams on effectively utilizing Power BI, Power Apps, and Power Automate within the governance framework.Guide new teams through onboarding and compliance processes, ensuring proper workspace configuration.

Join our dynamic team at Hawkeye Innovations as a Senior Java Engineer specializing in our Data Platform Framework. In this role, you will drive the development of scalable and efficient data solutions, collaborate with cross-functional teams, and contribute to the architecture of our data platform. If you are passionate about Java and data engineering, this is your chance to make an impact in a forward-thinking company.

SEON serves as the pivotal hub for fraud prevention and AML compliance, aiding numerous companies globally in thwarting fraud, mitigating risk, and safeguarding revenue. Leveraging over 900 real-time, first-party data signals, SEON enhances customer profiles, identifies dubious activities, and simplifies compliance workflows - all centralized in one platform. With a commitment to delivering richer data, more adaptable and transparent analysis, and a quicker time to value than competitors, SEON has successfully helped businesses reduce fraud by 95% and achieve an impressive 32x ROI. Our rapid growth is fueled by partnerships with some of the world's most innovative digital brands, including Revolut, Wise, and Bilt.Join the Platform Engineering team at SEON, the driving force behind our technical advancement. This team is focused on constructing the fundamental infrastructure and pipelines that empower product engineers to deploy code securely, swiftly, and independently. We view our platform as a product and our developers as customers, aiming to eliminate friction and minimize cognitive load throughout the software delivery lifecycle.We are in search of a visionary and seasoned Senior Manager of Platform Engineering to lead our talented team of Platform Engineers. In this pivotal role, you will be instrumental in designing the 'Golden Paths' that standardize and expedite our development processes, ensuring that our infrastructure evolves in tandem with our rapid business expansion. You will work closely with Software Engineering, Data, and SRE teams to translate requirements into a unified platform strategy. Your proven ability to lead high-performing teams in complex, fast-paced environments will be essential, as will your skill in organizing and inspiring a team amidst ongoing growth and transformation.This position offers flexibility, allowing you to work from Budapest with a hybrid schedule or remotely from anywhere within the European Union, with occasional travel to our other offices.

Join SEON, the leading command center for fraud prevention and AML compliance, where we empower thousands of companies worldwide to combat fraud, mitigate risks, and safeguard their revenues. Utilizing over 900 real-time, first-party data signals, SEON enhances customer profiles, identifies suspicious activities, and optimizes compliance workflows, all from a single platform. We offer richer data, transparent analytics, and faster value realisation than any competitor in the market. Our solutions have successfully reduced fraud by up to 95% and achieved a remarkable 32x ROI for our partners, including renowned digital brands like Revolut, Wise, and Bilt.We are seeking a talented Senior Platform Engineer to join our dynamic team, focused on developing the core engine that drives our technical capabilities. This role transcends traditional Site Reliability Engineering (SRE) responsibilities; your primary goal will be to create self-service tools that enable our product engineers to deploy code securely, swiftly, and independently.Working closely with the Senior Manager of Platform Engineering, you will treat our infrastructure as a product and our developers as customers. You will design 'Golden Paths' to minimize friction, alleviate cognitive load, and facilitate our teams' scalability in tandem with our rapid business growth.This position offers flexibility, allowing for a hybrid work environment in Budapest or a fully remote setup anywhere in the EU, with occasional travel to other offices.

Join our esteemed client, a well-established IT consulting firm with over two decades of expertise in executing large-scale technology projects across various sectors. Their enduring collaborations with major organizations demonstrate their technical prowess and financial reliability, bolstered by consistently high external credit ratings. Operating with a streamlined core team, the company boasts low turnover rates and fosters a collaborative culture built on trust, long-term partnerships, and a commitment to high-quality deliverables. With engagements spanning telecommunications, healthcare, and academia, this role offers engineers the chance to work on diverse and intricate projects while enjoying a flexible and supportive work environment.We are seeking a Senior Data Engineer to help manage extensive data environments characterized by high-volume datasets, intricate integrations, and analytical applications. This hands-on engineering position emphasizes the creation and upkeep of data pipelines, in-depth understanding of end-to-end data flows, and resolution of data quality concerns across distributed systems.You will collaborate closely with engineers, analysts, and stakeholders to ensure the delivery of reliable, scalable, and well-structured data solutions that enhance analytics and machine learning efforts.Key Responsibilities:Design, construct, and sustain scalable data ingestion and ETL/ELT pipelines.Manage large datasets and interfaces that feed into enterprise-level databases.Examine data flows and diagnose inconsistencies across systems.Conduct root cause analyses to trace erroneous outputs back to original source systems.Prepare datasets for analytics and machine learning applications.Participate in data modeling and mapping activities.Assist machine learning initiatives through data preparation, evaluation, and optimization.Establish and implement data quality monitoring frameworks.Create visualizations to facilitate data interpretation and insights.

Join our dynamic team as a Senior Data Engineer where you will play a pivotal role in shaping our data architecture and driving innovative solutions. You will be responsible for designing, building, and maintaining robust data pipelines that ensure our data is accessible, reliable, and ready for analysis. Your expertise will directly contribute to enhancing our data-driven decision-making processes.

Join Jobgether as a Multicloud Platform Engineer and be at the forefront of technological innovation. In this role, you will design, implement, and maintain cloud-based solutions across multiple platforms, ensuring optimal performance and security. As a key member of our engineering team, you will collaborate with cross-functional teams to deliver high-quality solutions that meet our clients' needs.

Role overview Qima seeks a Senior Manager, Data & Web Engineering to join their Budapest office. This leadership position manages a team of data engineers and web developers, focusing on the creation and improvement of data solutions and web applications. The role shapes data frameworks and helps ensure web platforms run smoothly, offering a dependable and user-friendly experience. What you will do Lead and mentor a group of data engineers and web developers Oversee development and refinement of data frameworks Maintain high standards for web platform performance and usability Collaborate with cross-functional teams to apply best practices in data management and web engineering Guide the team through complex technical issues Deliver projects on time and within budget Encourage continuous learning and foster innovation within the team Requirements Demonstrated experience leading teams in data engineering and web development Strong knowledge of data frameworks and web application performance Ability to work effectively across departments Track record of mentoring and developing technical staff Comfort managing several projects and shifting priorities This position is located in Budapest.

We are on the lookout for a talented Data Platform Developer who will play a crucial role in enhancing the clarity and consistency of our innovative cloud-based Lakehouse platform architecture. Your main objective will be to define, develop, and uphold architectural standards and contracts at the platform level. This will enable teams to build solutions in a consistent and transparent manner, fostering a shared understanding of where components belong, the rationale behind their placement, and their movement through the platform. A significant focus will be on establishing clear semantics and promotion rules across our layered data architecture, from raw ingestion to curated, consumption-ready data.As a vital member of the Common Data Intelligence Hub, you will collaborate closely with data architects, data engineers, analytics engineers, and solution designers to drive the target platform architecture forward and create an architectural framework that supports future use cases, without taking ownership of day-to-day development or operations.Key Responsibilities:Define, document, and continuously improve layer semantics and promotion rules across the architecture layers, including Landing, Sources, Bronze, Silver, and Gold. Ensure these rules are integrated into governance tooling such as Databricks Unity Catalog or Microsoft Fabric OneLake.Establish and govern platform guardrails and contracts, focusing on schema evolution, Change Data Capture (CDC) principles at the platform level, and key non-functional requirements such as reliability, performance, security, and cost.Own and refine the platform's reference architecture, including capability/service boundaries, responsibilities, standard integration patterns, and architectural standards.Drive the target platform architecture and maintain a prioritized architectural roadmap, addressing platform enablers and technical debt initiatives.Support and review solution designs for new use cases, ensuring they align with platform standards and governance requirements.Create and maintain an architecture documentation practice that is up-to-date and user-friendly.Ensure the platform is consistently represented within enterprise architecture tools and processes, acting as the liaison to enterprise architecture stakeholders.Collaborate with Data Architects and domain teams to ensure platform rules support high-quality modeling and cross-domain consistency.

Join our dynamic team as an OpenShift Platform Engineer, where you will play a crucial role in designing, deploying, and managing OpenShift environments. As part of Deutsche Telekom IT Solutions, you will collaborate with cross-functional teams to enhance our cloud infrastructure, ensuring optimal performance and reliability.

Deutsche Telekom IT Solutions is looking for a DevOps / Platform Engineer (REF5431C) to help strengthen platform capabilities across the organization. This position is based in Budapest, Debrecen, Pécs, or Szeged. Role overview The DevOps / Platform Engineer will design, implement, and maintain scalable systems that support reliable and high-performing operations. The role involves close collaboration with other technical professionals, focusing on system efficiency and stability. What you will do Automate deployment processes to improve speed and consistency Manage and optimize cloud infrastructure for performance and reliability Work with development teams to streamline workflows and processes Support ongoing improvements to DevOps practices and tools Requirements Experience in system automation, cloud infrastructure management, and DevOps methodologies is expected. Strong teamwork and communication skills are important for collaborating with development and operations teams.

Join our team as a Senior Data Engineer, where you will play a pivotal role in building and managing scalable data ingestion and Change Data Capture (CDC) capabilities on our Azure-based Lakehouse platform. Your expertise will drive our engineering maturity as we deliver ingestion and CDC preparation through Python projects and reusable frameworks. We are seeking a professional who applies best software engineering practices, including clean architecture, rigorous testing, code reviews, effective packaging, CI/CD, and operational excellence.Our platform emphasizes batch-first processing, allowing for the landing of streaming sources in their raw form while processing them in batch. We are selective in our evolution towards streaming as necessary.As part of the Common Data Intelligence Hub, you will collaborate closely with data architects, analytics engineers, and solution designers to create robust data products and ensure governed data flows across the enterprise.Your team is responsible for end-to-end ingestion and CDC engineering, including design, build, operation, observability, reliability, and reusable components.You will contribute to the development of platform standards, including contracts, layer semantics, and readiness criteria.While you will not primarily manage cloud infrastructure provisioning, you will work with the platform team to define requirements, review changes, and maintain deployable code for pipelines and jobs.Platform Data Engineering & DeliveryDesign and develop ingestion pipelines utilizing Azure and Databricks services, including Azure Data Factory pipelines and Databricks notebooks/jobs/workflows.Implement and manage CDC patterns for inserts, updates, and deletes, accommodating late arriving data and reprocessing strategies.Structure and maintain bronze and silver Delta Lake datasets, focusing on schema enforcement, de-duplication, and performance tuning.Create “transformation-ready” datasets and interfaces with stable schemas, contracts, and metadata expectations for analytics engineers and downstream modeling.Adopt a batch-first approach for data ingestion, ensuring raw landing, replayability, and idempotent batch processing while progressing towards true streaming as required.Software Engineering for Data FrameworksDevelop and maintain Python-based ingestion and CDC components as production-grade software, focusing on modules, packaging, versioning, and releases.Implement engineering best practices such as code reviews, unit/integration tests, static analysis, formatting/linting, type hints, and comprehensive documentation.Establish and enhance CI/CD pipelines for data engineering code and pipeline assets, covering build, testing, security checks, deployment, and rollback patterns.

Join a global leader in technology dedicated to energy innovation for a sustainable future. Our client is at the forefront of transforming energy solutions with advanced gas engine technologies, digital platforms, and energy services. With operations in over 100 countries, they focus on advancing engineering while prioritizing the well-being of people and the planet.The Senior Data Engineer plays a crucial role in collaboration with Data Analysts, BI Developers, and Requirements Engineers to lay the groundwork for all analytical projects. This position entails building and managing data pipelines that extract, transform, and load (ETL) data from various sources into a centralized repository, subsequently facilitating project-specific data delivery.Your Responsibilities: Architect and deploy scalable and resilient data pipelines that meet the analytics and data processing requirements. Design and maintain robust database architectures, including data lakes and warehouses. Ensure data integrity and consistency through meticulous data cleaning, transformation, and validation processes. Engage with Data Analysts, BI Developers, and Requirements Engineers to gather project requirements and provide data solutions aligned with business goals. Enhance data retrieval processes by developing pipelines and physical data models tailored for reports and various analytical projects. Implement data security and privacy protocols to ensure compliance with legal and regulatory standards. Document all created data pipelines comprehensively.

Join our team at BDA_CDI HUB, where we deliver comprehensive IT solutions for T-Systems that encompass data management, analytics, visualization, and process automation.Our expertise covers everything from user-friendly analytics platforms to enterprise-level data warehouse and analytics solutions. We are dedicated to driving data-driven initiatives and implementing advanced analytics through cloud services, transforming our traditional data warehouse architecture into a centralized T-Systems Lakehouse framework to optimize performance and efficiency.Our work environment is dynamic, innovative, and focused on continuous learning and professional development.As a Senior Developer in Data Analytics & Data Engineering, your responsibilities will include:Designing IT platforms, processes, and structural frameworks for our evolving Lakehouse on Azure, using cutting-edge technologies such as Databricks, Data Factory, Data Lake Storage, Event Hub, and more.Developing sustainable architectures, prototyping solutions, and assessing new technologies to foster innovation.Supporting engineering teams in platform architecture development and mentoring them towards independent solution design.Ensuring the protection and security of business-critical and personal data.Collaborating with the team to improve platform architecture, establishing principles, patterns, and best practices.

The Exciting Opportunity This position plays a vital role in architecting and enhancing our platform to meet business demands while optimizing our systems. In this role, you will have the opportunity to develop new data pipelines, manage platforms hosted on data streams for both batch and real-time loading, and create real-time visualizations. Key Responsibilities: Maintain and enhance our existing data platform. Develop processes to ingest data from Kafka, APIs, and databases using AWS MSK Connect. Design and maintain real-time data processing applications utilizing frameworks such as Spark Structured Streaming and Kafka Streams. Implement transformations on data streams. Participate in data modeling adhering to standards like Inmon, Kimball, and Data Vault. Ensure data quality by verifying consistency and accuracy. Stay current with research and advancements in technology to improve our data platform. Possess an investigative mindset to troubleshoot issues creatively and manage incidents effectively. Take full ownership of assigned projects and tasks while collaborating within a team environment. Document processes thoroughly and conduct knowledge-sharing sessions. What We're Looking For: Essential Qualifications: Proven experience with modern cloud database technologies, especially Snowflake. Expertise in orchestrating data pipelines using Airflow. Proficient in AWS Glue. Familiarity with Apache Iceberg. Strong experience with SQL and Data Integration Tools. Proficiency in programming languages such as Python or Scala. Knowledge of AWS Services like S3, Lambda, API Gateways, DMS, and RDS. Development experience in Microsoft and Linux/Cloud environments. Exceptional analytical and problem-solving skills.

Since its inception in 1999 in Vienna, Qualysoft Group has established itself as a leading independent IT consulting and services provider. We are dedicated to enhancing the competitiveness and economic efficiency of our international clientele through cutting-edge IT solutions.Our expertise spans various sectors, including financial services, telecommunications, automotive, and energy services. With a dedicated team of over 400 professionals across six subsidiaries, we are committed to delivering state-of-the-art solutions tailored to our clients' needs.At Qualysoft, we seek to expand our teams with new colleagues eager to engage in diverse projects that foster continuous learning and development. Our shared mission emphasizes integrity, growth, and a robust support system while exploring the forefront of technology. We look forward to receiving your application for the position below!About the Role: The Workplace Platform Engineer will be pivotal in designing, standardizing, securing, and managing the lifecycle of our enterprise endpoint platform. This role is essential in ensuring that all users experience a secure, scalable, and high-performance digital workplace environment that meets corporate security, compliance, and operational standards.As the technical authority for endpoint platforms and modern device management, you will drive automation, standardization, and continuous improvement throughout our workplace ecosystem.

mpsolutions is searching for a Lead Infrastructure & Platform Engineer for Cloud & ML Serving to join the team in Budapest. This position centers on building and maintaining the core platform that delivers machine learning models in real time to a wide user base. The work supports AI and imaging projects, and offers the opportunity to shape both cloud and serving architecture from the ground up. Main responsibilities Design and maintain cloud infrastructure across AWS, GCP, and Azure. Deploy and scale machine learning models in production environments. Develop high-load backend systems, including APIs, inference pipelines, and data processing components. Contribute to production server code, not just operational tasks. Make platform-level decisions focused on performance, latency, and reliability. Requirements Minimum 8 years of experience in cloud, platform, or distributed systems roles. Deep knowledge of AWS, Kubernetes, CI/CD pipelines, and Infrastructure as Code (IaC). Hands-on experience with ML serving, GPU inference, and real-time systems. Strong programming skills in Python and C++ (beyond basic scripting). Understanding of scaling, latency, fault tolerance, and observability in production systems. Fluency in English. What makes this role different This position blends platform engineering, backend development, and machine learning serving. It is not a traditional DevOps job. Full ownership of the stack, from infrastructure through backend systems to ML model serving. Work on systems that handle real-world, high-scale traffic. Contribute in a startup environment where technical decisions directly shape the product. For those interested in building foundational platforms and making key technical choices, mpsolutions welcomes a conversation.

Join Kpler as a Senior BI Data Engineer and be a pivotal force in shaping our data architecture. In this vital role within our Business Intelligence & Insights team, you will develop scalable data pipelines, create robust data models, and establish reliable infrastructure that empowers teams across the organization with access to high-quality, accurate data. This position is ideal for someone who thrives in a fast-paced, international environment and enjoys addressing complex data challenges while designing systems that drive insights, reporting, and machine learning at scale. You will report directly to the Director of BI, collaborating closely with cross-functional teams to enhance data-driven decision-making across the company.

Role Overview Tulip is hiring a Data Operations Engineer to help manage and improve data operations. This role focuses on maintaining data quality, refining workflows, and supporting the efficiency of daily processes. The position is based in Budapest, Munich, or Tel Aviv. What You Will Do Work closely with teams across the company to ensure data remains accurate and reliable Identify opportunities to streamline data-related processes Support ongoing efforts to improve the efficiency of data operations Location Budapest, Hungary Munich, Germany Tel Aviv, Israel