Role Description To strengthen our MusGKteers team in the Data Value Stream – B2B Analytics, we are looking for a Senior Data Engineer. Our mission is to implement a future-proof data warehouse (DWH) landscape within the One Data Ecosystem (ODE). To achieve this, we need to migrate the current architecture (ODW and ODL) to the Google Cloud Platform (GCP). In addition, new products and KPIs continuously generate new requirements to ensure that our B2B data remains up to date. The scope of work is extensive, challenging, and highly exciting. If you are interested in working in a future-oriented and agile environment, then you’ve come to the right place. You only need the following skills: BigQuery, Dataform, BigLake, Vertex AI, Google Cloud Storage, Cloud Composer/Airflow and don’t worry: we are also still learning in our new cloud environment. So there is nothing you cannot learn as well. - Analyses complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. - Designs, builds, implements, and maintains the database structures to support business needs including integration of vendor database solutions into the data environment. - Contributes to the development of the capacity planning function to properly identify needed hardware, software, database configuration/architecture to support application/business needs. - Manages the life cycle of multiple database tools by enabling smooth upgrades and/or installation and support of new capabilities. - Data munging, manipulation, cleansing, and blending from multiple data sources and exposure to various data types and storage paradigms including data mining. - Works with data to solve business problems and build and maintain the infrastructure to answer questions with data. - Develops and manages scalable data processing platforms used for exploratory data analysis and real-time analytics. - Oversees activities of the junior data engineers, ensuring proper execution of their duties and alignment with business vision and objectives. Qualifications - Possess strong expertise in cloud technologies (ideally Google Cloud Platform), including tools such as BigQuery, Dataform, BigLake, Vertex AI, Google Cloud Storage, Cloud Composer/Airflow, and Dataproc. - Have solid knowledge of Python and PySpark. - Bring experience in designing and engineering DWH/BI solutions, including data modelling. - Understand data historization concepts and can apply them effectively. - Have hands-on experience with DevOps practices. - Are familiar with CI/CD processes using GitLab. - Can work with UML for system and process modelling. - Have practical experience with agile delivery frameworks such as LeSS or Scrum. - Demonstrate a collaborative, agile mindset suitable for cross-functional, interdisciplinary teams. - Show strong analytical capabilities, including the ability to recognize complex dependencies and communicate them clearly. - Can design and implement efficient processes for integrating and consolidating heterogeneous data sources. - Communicate confidently in English at a very good level (B2); German language skills are an advantage. - Bring strong teamwork and communication skills. - Have experience working in intercultural or nearshore project environments. - Are willing to travel to and within Germany. Requirements - Experience with meta-model–based frameworks (e.g., Innovator). - Skills in reporting and dashboarding with Microsoft Power BI. - Knowledge of AI-based forecasting and predictive analytics. - Experience contributing to end-to-end solution design for business requirements. Benefits - Financial benefits. - Benefits with focus on learning and development. - Benefits with focus on health and sport. - Benefits with focus on family and work-life balance. - Other benefits. Salary Final salary is negotiable. We are offering a base salary depending on seniority level and previous experience of the candidate. In addition to base salary, we provide a variable part and other financial benefits. Base salary will not be lower than 3100€ /brutto. Additional Information Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation. Location: Remote from Slovakia.

Role Description You will join one of our high-performing consultant teams, delivering cutting-edge solutions for our financial services clients. This is a hands-on role where your data analysis skills and financial acumen will be essential to supporting senior business experts. You will be moving beyond the limitations of standard tools like Excel to solve complex data challenges. Working directly with critical data in the reinsurance domain, performing data crunching & providing actionable insights that inform key decisions. - Perform complex data manipulation and analysis to support senior business experts and stakeholders. - Utilise Python and its data libraries to handle large datasets and automate analytical tasks. - Design and execute robust data mapping and analysis projects. - Work with our expert teams to understand client needs and translate them into effective data solutions. - Working in a fast paced start-up agile and high pressure environment. - DBT: Transforming raw data in the warehouse into clean, tested & documented models using SQL. - Databricks: Must have recent experience. - Domain knowledge: Have worked within the operations team for an asset management department and understands assets data, like financial securities, trading data within the last 3 years. - Investment & Financial: Experience with investment-related projects or working in the reinsurance or life insurance domain. - SQL: Data manipulation and querying. - Python: Experience in libraries like Pandas and NumPy. - Communication: Excellent senior stakeholder, articulate, presenting & engagement skills. Qualifications - Experience in data analysis and financial services. - Proficiency in Python and SQL. - Strong communication skills. Requirements - Fully Remote. - Outside IR35. - Long term contract. - c£500/Day.

Role Description The senior data engineer develops, constructs, tests and maintains architectures, such as databases and large-scale processing systems, and ensures that architecture fully supports requirements of the business. Plays a collaborative role where he/she works closely with the business’s Data and Analytics teams, gathering technical requirements for exceptional data governance. - Analyses complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models. - Designs, builds, implements and maintains the database structures to support business needs including integration of vendor database solutions into data environment. - Contributes to the development of the capacity planning function to properly identify needed hardware, software, database configuration/architecture to support application/business needs. - Manages the life cycle of multiple database tools by enabling smooth upgrades and/or installation and support of new capabilities. - Data munging, manipulation, cleansing and blending from multiple data sources and exposure to various data types and storage paradigms including data mining. - Works with data to solve business problems and build and maintain the infrastructure to answer questions with data. - Develops and manages scalable data processing platforms used for exploratory data analysis and real-time analytics. - Oversees activities of the junior data engineers, ensuring proper execution of their duties and alignment with business vision and objectives. Qualifications - Education in Information technologies – Master’s degree - Experience with ICT Analysis, Architecture & Design - 5 years - Experience with Cloud solutions, preferably GCP (or Azure, or AWS) in range of data processing - Expert - Machine learning - Advanced - Experience with Data Analytics – visualization - Expert - Experience with Big Data (e.g. MapReduce, Hive, HDFS, YARN, HBase, Oozie) - Expert - Experience with Data processing methods (Kafka, Spark) - Advanced - Experience with Data streaming, Data warehousing - Expert - Experience with SQL and NoSQL Databases - Advanced - Experience with programming, scripting - Advanced - Data mining techniques - Advanced - Analytical thinking, Team management, cross-functional Collaboration, strategic thinking and ability to Innovate, Effective Communication and Stress Tolerance - Speak English - Advanced (C1) and German advantage - Intermediate (B1) Benefits - Financial benefits - Benefits with focus on learning and development - Benefits with focus on health and sport - Benefits with focus on family and work – life balance - Other benefits Salary Final salary is negotiable. We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 3100€ /brutto. Additional Information Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation. Location: Remote from Slovakia.

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Enterprise Data Developer - Remote. In this role, you will be at the forefront of designing and deploying enterprise-scale data management and AI capabilities. This involves leveraging cutting-edge technologies like Microsoft Fabric and Azure AI Foundry, providing you the opportunity to deliver innovative, secure, and reliable solutions. You will collaborate with a dynamic team, ensuring that the solutions meet robust architectural standards while optimizing cost and performance. The potential impact of your work extends across multiple business units and enhances the overall organizational efficiency. Accountabilities - Partner with enterprise architecture & engineering to define data and AI roadmaps. - Develop reference architectures and patterns for data solutions. - Shape data service standards and model lifecycle policies. - Influence security, privacy, and compliance requirements for data workloads. - Lead end-to-end technical delivery for multiple initiatives. - Facilitate knowledge transfer with high-quality documentation. Qualifications - 7+ years of experience in data engineering or AI development. - Expertise in Microsoft Fabric and AI Foundry. - Proficiency in SQL, Python, and KQL. - Strong understanding of data governance and security practices. - Excellent communication skills with the ability to explain technical concepts. Benefits - Competitive salary range of $140,000-$170,000 annually. - Opportunity for professional development and training. - Flexible working conditions in a remote environment. - Health and wellness programs. - Employee ownership and participation in company success. Company Description