Development / ETL Developer The ETL Developer will play a critical role in designing, building, and maintaining integration process flows for the Digital Integration Hub (DIH), centralized integration platform for Trading and Asset Services. This role is focused on ETL development, data transformation, API integrations, and secure, scalable workflow design using industry leading tool, Adeptia. You will work closely with Product Owners, Business Analysts, QA, DevOps, and the Scrum Master to deliver highquality, secure, and reliable integration solutions that support DIH’s strategic roadmap. Position Responsibilities: - Design, develop, test, and maintain DIH integration connectors using ETL tool Adeptia. - Build and optimize ETL workflows that extract, transform, validate, and load data across internal and external systems. - Implement API integrations (REST/SOAP) using modern authentication methods (OAuth, JWT, API keys). - Map source and destination fields, define transformation logic, and ensure data accuracy and consistency. - Write clean, maintainable, and secure integration logic following development standards. - Create process flows, sequence diagrams, and technical documentation to support development and maintenance. - Assist engineering teams with design changes and architectural improvements. - Collaborate with QA engineers to define acceptance criteria, test strategies, and quality gates. - Support automated testing and CI/CD pipeline improvements. - Troubleshoot defects, identify root causes, and implement corrective actions. - Ensure all integration workflows follow secure coding practices and security standards. - Support security reviews, audits, and remediation activities throughout the development lifecycle. - Collaborate with DevOps on deployments, environment configuration, and pipeline automation. - Provide technical input for release notes, documentation, and training materials. Position Requirements: - Bachelor’s degree in software engineering, computer science or other related discipline or the equivalent combination of education, training, or work experience - Experience designing complex multi‑step ETL pipelines with branching logic, conditional flows, and error handling using tools such as Adeptia, Azure Data Factory, Informatica, or similar platforms (Adeptia preferred) - Strong SQL skills and familiarity with JavaScript, or equivalent programming language - Familiarity with secure coding practices, especially around data movement and API consumption - Knowledge of CI/CD pipelines, automated testing, and DevOps practices - Understanding of data modeling concepts, including schemas, transformations, and data lineage - Ideal candidate has previous experience in the FinTech industry with exposure to financial markets, private equity, or investment accounting - Knowledge of end-to-end software development life cycles, e.g., Agile, SAFeAgile - Strong interpersonal communication skills - Excellent written, verbal communication and presentation skills - Ability to collaborate with globally distributed teams. - Strong analytical, problem-solving, and time management skills  About Digital Integration Hub Digital Integration Hub (DIH) team is structured horizontally across Trading & Asset Services business and aims to build and rebuild digital connectors between internal products as well as third-party partners. DIH seeks to integrate products and solutions using modern integration standards and best practices. DIH works with business/solution leaders responsible for key ecosystems to meet integration requirements aimed at linking products and solutions to provide a more automated, unified experience for our clients. DIH is a centralized home for strategic integrations, established to build, enhance, maintain, and support strategic integrations.

Note: This role is primarily remote, with the expectation to visit our Eindhoven office around 1–2 times per month for in-person collaboration. At GoodHabitz, we are building an activation-first product strategy that helps learners start, stick, and get value fast — across both LMS-integrated and native platform experiences. We are hiring a Product Data Lead to found and shape the product data discipline from the ground up. This role goes beyond analysis: you will design the event taxonomy, instrumentation standards, and modeled analytics foundations that make product decisions measurably defensible. You will partner closely with Product and Engineering to turn messy, fragmented data into a trusted system (funnels, cohorts, retention), and install a repeatable metrics ritual that enables leadership to steer activation → engagement → retention → GRR with clarity. As the discipline matures, you will help define how product data scales — through systems, processes, and potentially team expansion — based on demonstrated impact rather than pre-set headcount.  This role reports to the Director of Product and will have high visibility across product and executive leadership.  Key Responsibilities Product Data Foundations (Taxonomy + Instrumentation)  - Define and drive adoption of a product event taxonomy and naming conventions for the highest-leverage activation surfaces.  - Partner with engineering to implement and maintain a tracking plan, including clear ownership and change management.  - Establish instrumentation quality monitoring so broken or missing events are detected early.  - Create clear documentation so teams can use events consistently across products and regions.  Activation & Retention Measurement (Funnels + Cohorts)  - Build a working activation funnel that supports segmentation (LMS vs Platform, coach vs no coach, key cohorts), and is used in product reviews.  - Create D0/D7/D14 (and beyond) retention tracking for key cohorts with explicit cohort definitions and repeatable models.  - Translate product questions into robust analysis patterns, and teach teams how to self-serve.  Executive Narrative & Metrics Ritual  - Install a monthly or bi-weekly product metrics ritual with a small set of agreed metrics, definitions, and owners.  - Produce a clear “Activation → Engagement → Retention → GRR” measurement narrative that leadership can rely on.  - Surface risks and data integrity gaps early, and propose sequencing to resolve them.  Cross-Functional Partnership & Structural Enablement  - Clarify the working model between product data, analytics engineering, and domain teams (who builds what, and what gets prioritized).  - Define requirements for critical identifiers and align stakeholders on scope and sequencing.  - Lead the design and sequencing of critical identity plumbing (e.g., account-level joins across product and revenue systems) to enable reliable product → retention analysis.  - Balance speed with rigor: ship practical v1 models and dashboards, then iterate as the system matures.

Are you a data enthusiast ready to tackle new challenges with cutting-edge technologies? We have an exciting opportunity for a talented Data Engineer to join our expert team, either at our vibrant Athens office or remotely. What You'll Do: - Participate in the design and implementation of databases, ETLs, and BI reports, along with web development teams; - Migration of database/ETL changes across environments; - Develop/maintain data models; - Monitor server performance of application databases; - Maintain access rights; - Write technical documentation; - Install and configure the respective tools.

Are you passionate about big data and eager to work with cutting-edge technologies? We have an exciting opportunity for a Data Engineer - Spark Developer to join our dynamic and expanding development teams. Whether you prefer to work from our vibrant offices in Athens or remotely, we welcome your talent and enthusiasm. What You'll Do: - Design, develop, test, deploy, maintain, and improve data pipelines; - Coding using Apache Spark on Azure Databricks; - Design and develop big data architectures using Azure Data Factory, Service Bus, BI, Databricks, and other Azure Services.