At Mindera, we believe that software is built by people, for people with high performance systems that impact users worldwide. We are looking for a Senior Data Engineer to join an agile, collaborative team where your voice matters as much as your code. You won’t just be managing infrastructure, you’ll be a technical partner helping us build resilient systems that scale. We value empathy, self-organization, and the courage to take risks. If you love solving complex problems and believe that teaching others is the best way to learn, you’ll feel right at home here. We’re looking for someone who loves to build, learn, and guide others. You’ll be working closely with our leadership (CEO/COO) and our clients, so clear communication and a collaborative spirit are key. National and international expected traveling time varies according to project/client and organizational needs: 0%-15% estimated. 💪 How You’ll Contribute - Build & Maintain Pipelines: Design, build, and operate end-to-end data solutions , including both real-time and batch data pipelines. Ensure data flows correctly across architectures, from raw ingestion to modeling-ready layers. - Cross-Cloud Engineering: Leverage expertise across multiple cloud environments to build robust data ecosystems, whether utilizing AWS (S3 and core cloud services) , GCP (BigQuery and Google Cloud Storage) , or Azure (Databricks). - Automate & Orchestrate: Use deep knowledge of Apache Airflow for scheduling, orchestrating, and monitoring workflows. Build software services and automate processes using strong Python development skills. - Advanced Data Modeling: Apply the correct methodologies (Kimball, Inmon, Data Vault) to design Star Schemas, Semantic Models, and highly optimized platforms.

Description and Requirements GG10.2 Data Engineer plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate Big Data, Engineering and Cloud expertise.It is an individual contributor role, expected to independently function 5-8+ years of relevant experience Bachelors degree in computer science, information technology or equivalent educational qualification • Design, build, and maintain robust ETL/ELT pipelines on cloud(Azure) or on-prem to collect, ingest and store large volumes of structured and unstructured data for batch/real time processing• Monitor, optimize, and troubleshoot data pipelines to ensure reliability, scalability, and performance• Ensure data processing, quality, security, and compliance guidelines, policies and standards are followed• Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights) • SQL, Python/Scala• NoSql and distributed databases (Hbase, Cosmos DB)• ETL pipleine development• Big Data Frameworks : Apache Spark, Hadoop, Hive• Cloud platforms: Azure data factory, Eventhub, Azure functions, Synapse, Databricks• Datawarehouses, data marts, data lakes• Medallion architecture• Performance tuning, optimization, and data quality validation• Real-time and batch data processing , streaming pieplines with Spark• Communication skills, analytical skills, structured problem-solving skills.,• Partner, Stakeholder engagement experience • DevOps practices: Git, AzureDevops, CI/CD pipelines• Unix shell scripting, MongoDB, Nifi• Exposure to Gen AI technology and tools About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us! #BI-Hybrid

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. This role is responsible for collaborating with the R&D function within Corp IT Data and Analytics team, including software and infrastructure design, ensuring quality and performance standards are met. Key Accountabilities: Data analysis: - Applies data analysis, data modelling, and quality assurance techniques, based upon a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions). Advises database designers and other application development team members on the details of data structures and associated components. Database design: - Develops and maintains specialist knowledge of database concepts, object and data modelling techniques and design principles and a detailed knowledge of database architectures, software and facilities. Analyses data requirements to establish, modify or maintain object/data models. Evaluates potential solutions, demonstrating, installing and commissioning selected products. Programming/ software development: - Designs, codes, tests, corrects and documents complex programs and scripts from agreed specifications, and subsequent iterations, using agreed standards and tools, to achieve a well-engineered result. Takes part in reviews of own work and leads reviews of colleagues' work. Systems design: - Specifies user/system interfaces and translates logical designs into physical designs taking account of target environment, performance security requirements and existing systems. Produces detailed designs and documents all work using required standards, methods and tools, including prototyping tools where appropriate. Key Responsibilities: - Design and develop ETL mappings and workflows using Qlik or Informatica. - Develop technical specifications for data loading rules. - Mentor and provide technical guidance for Software Engineers. - Design, implement, and architect software products. - Design, implement, and architect product extensions for customer specific requirements. - Adhere to and produce artifacts (technical specifications, architectural specifications, data models, installation and qualification guides, and release notes) for the software development process. - Support technical consulting activities to clients in the pharmaceutical industry. - Design and support clinical trials information sharing solutions. - Provide application support for existing products. - Help with release management, using versioning tools such as SVN, and executing live deployments. Skills: - Willingness to work in a matrix environment and to value the importance of teamwork. - Understanding of common system architecture frameworks and concepts. - Technical awareness of Security and Application Software Development. - Excellent interpersonal, verbal and written communication skills. - Client focused approach to work. Knowledge and Experience: - Proven relevant experience in systems integration and implementation, or software development, or a related discipline. - Demonstrated ability to liaise with multiple stakeholders. - Experience with Microsoft Azure components in particular, Azure SQL, Azure Analysis Services, Synapse. - Experience implementing ETL solutions, particularly utilizing Qlik Replicate and Compose. - Strong Database Development Skills, particularly implementing SQL solutions in Azure SQL, Synapse or Databricks. environments. Good experience with large datasets. - Experience improving Data Quality in Data Warehouses, particularly utilizing Informatica Data Quality. - Experience testing ETL solutions, particularly utilizing Informatica DVO product. - Experience using Enterprise Architecture modeling tools, frameworks and methodologies such as TOGAF, SPARX EA, UML, BPMN, ArchiMate etc. - Experience Designing Data Warehouses, applying Kimball’s Dimensional Modeling Techniques, Architecting ETL systems. - Experience working in Agile development software methodology, authoring technical documents / specifications. - Experience debugging complex software systems. - Significant experience implementing data-driven systems with large-scale relational or object-oriented databases. - Ability to work in a high pressure, result/deadline-oriented environment. Education: - Bachelor's Degree in technical discipline (Math’s, Science, Engineering, Computing, etc.) or a related study, or equivalent project-related experience.

We are looking for a Data Engineer (Databricks) to support the preparation phase for AI implementation by ensuring data is well-structured, reliable, and ready for advanced use cases. The ideal candidate acts as a bridge between business and technology, combining strong data understanding with hands-on technical expertise. Start Date: ASAP Location: Remote in Czechia Language: English, Czech Contract Type: B2B Responsibilities: - Collaborate with business and technical stakeholders to understand data needs and requirements - Utilize Databricks for data processing and engineering tasks - Prepare, structure, and ensure high quality of data for AI implementation - Work hands-on with data, transforming and organizing it for further usage - Act as a bridge between business and technology, translating requirements into data solutions Requirements: - Proven experience as a Data Engineer or in a similar role - Hands-on experience with Databricks - Strong understanding of data and ability to work with it hands-on - Experience working closely with both business and technical stakeholders - Ability to bridge business needs with technical implementation