• Konzeption und Aufbau einer modernen ELT-Architektur (Raw → Staging → Data Mart) • Entwicklung und Pflege eines strukturierten Data Warehouses inklusive sauberer Transformationslogik außerhalb des BI-Tools • Datenmodellierung im Warehouse (z. B. Star Schema, perspektivisch Data Vault) • Implementierung versionierter Transformationen mit dbt oder vergleichbaren Tools • Aufbau und Orchestrierung stabiler, automatisierter Datenpipelines (z. B. mit Airflow, Prefect oder Dagster) • Integration interner und externer Datenquellen (Shop, ERP, CRM, Marketing-Plattformen, APIs) • Sicherstellung von Datenqualität, Monitoring und Fehlerhandling innerhalb der Pipeline-Architektur • Technische Weiterentwicklung der Datenplattform im Hinblick auf Performance, Skalierbarkeit und perspektivische Cloud-Integration

CAPCO POLAND *We're looking for Poland-based candidates. Capco is a global management and technology consultancy dedicated to the financial services industry. We partner with leading banks, insurers, and fintechs to deliver data-driven transformation, operational excellence, and innovative digital solutions. Role Overview: We are looking for a Data Quality & Metadata Specialist to join a strategic client project focused on strengthening enterprise Data Governance foundations. In this consulting role, you will support the design and operationalisation of the Data Quality Management model, establish business glossary and metadata governance processes, recommend appropriate tooling, and provide input into the feasibility of business KPIs from a data readiness perspective. This role requires a strong ability to translate governance principles into practical, implementable solutions while working closely with both business and IT stakeholders. What You’ll Do: Data Quality Management Model - Co-design and document the enterprise Data Quality Management framework - Define Data Quality dimensions, rules, controls, and monitoring mechanisms - Define responsibilities for Data Owners and Data Stewards - Design DQ reporting structures, issue management workflows, and escalation paths - Support definition of DQ KPIs and performance dashboards Glossary & Metadata Governance - Develop and structure the Business Glossary framework - Define governance processes for glossary term creation, approval, and maintenance - Establish metadata governance standards (business and technical metadata) - Define metadata lifecycle processes and ownership model - Align glossary and metadata governance with broader Data Governance strategy Tooling Recommendations - Assess current tooling landscape and identify capability gaps - Define functional requirements for data catalog and DQ tools - Recommend suitable tooling aligned with the target operating model - Support preparation of implementation roadmap and adoption approach KPI Feasibility & Data Readiness Input - Assess data availability and quality to support defined business KPIs - Identify data gaps and risks impacting KPI measurement - Provide recommendations to improve measurement reliability - Support alignment between business reporting ambition and data maturity What We’re Looking For: - Experience working on Data Governance or Data Management projects - Hands-on experience in Data Quality frameworks or controls definition - Experience designing or maintaining Business Glossaries and metadata structures - Understanding of data lineage, metadata concepts, and DQ monitoring approaches - Experience with data catalog or DQ tools (e.g., Collibra, Informatica, SAP MDG, Azure Purview, Ataccama, etc.) - Strong stakeholder communication skills in cross-functional environments - Structured, analytical mindset with strong documentation skills Ideal Profile: - Consulting or transformation project experience - Ability to work independently within a defined project scope - Experience facilitating workshops with business stakeholders - Knowledge of DMBOK, DCAM or similar frameworks is a plus We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects. Recruitment Process: - HR Interview - Hiring Manager Technical Interview - Client Interview - Feedback and offer We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

• Partner with teams across the business and external partners to understand data needs and deliver reliable pipelines and models that solve real problems. • Build and maintain scalable ingestion and egress pipelines in Airflow and dbt Cloud, ensuring high quality, automated data flows across cloud environments. • Implement unit tests and monitoring to guarantee data integrity and reproducibility. • Model and transform and structure healthcare datasets into usable formats that power data science models, and other reporting marts. • Enhance and scale data models with SQL and dbt, ensuring precision and adaptability for new partnerships. • Write Python code for Apache Airflow DAGs, components and utilities that orchestrate and monitor data workflows. Build complex pipelines that enable flexible scheduling, conditional logic, and smooth integration across multiple data sources.

We are recruiting a Sr. Data Engineer for a client in the AI / health & wellness space Original Job Post link https://www.notion.so/garden3d/Senior-Data-Engineer-2e7131fea2c7800094e4d9340a5df499?source=copy_link About garden3d We are worker owned creative collective, innovating on everything from brands and IRL communities to IoT devices and cross platform apps. We share profit, open source everything, spin out new businesses, and invest in exciting ideas through financial and/or in-kind contributions. Our client roster includes Google, Stripe, Figma, Hinge, Black Socialists in America, ACLU, Pratt, Parsons, Mozilla, The Nobel Prize, MIT, Gnosis, Etsy & Gagosian. We’re the software team behind innovative products like The Light Phone & Mill, and a global, decentralized community space collective called Index Space. We think of our garden3d as collective for creative people, prioritizing a happy, talented, and diverse studio culture. We work on projects that bring value to our world, and we balance deep care for the work we do with a genuine curiosity about life outside of our jobs. About the client Our client is an early-stage AI startup based in NYC (but open to remote team members). The founders have experience building and scaling successful ventures including a 9-figure exit. Who we’re looking for: We’re looking for a Senior Data Engineer with deep expertise in designing and owning data pipelines, workflow orchestration, and complex data integrations. You’ll play a key role in evolving our data ingestion architecture, from an existing in-house, code-defined workflow system backed by queues, to a more scalable and observable orchestration layer using Prefect. In this role, you’ll lead the development and optimization of pipelines handling both structured and unstructured data from a wide range of sources, including web crawls and scrapers. You’ll be expected to make architectural decisions, ensure reliability and scalability, and establish best practices for workflow design, monitoring, and performance as our data platform grows. In this role, you’ll work across a variety of initiatives to find cost-effective, high-quality, pragmatic solutions to complex problems. Responsibilities will include: - Monitoring and maintaining data pipelines, troubleshooting new errors, and addressing format drift - Extracting and enriching additional data elements from diverse sources - Reprocessing and validating large datasets in batch workflows - Designing and integrating new data sources into existing pipelines - Aligning and integrating extracted data with the core application data model to ensure consistency and usability - Participating in code reviews, providing constructive feedback to teammates and ensuring adherence to best practices - Contributing to project success by keeping a close eye on team velocity, project scope, budget, and timeline - Negotiating with clients to align project scope with budget and timeline, if needed Who you are The person we’re looking for is happy, relaxed and easy to get along with. They’re flexible on anything except conceits that will lower their usually outstanding work quality. They work “smart”, by carefully managing their workflow and staggering features that have dependencies intelligently — they prefer deep work but are OK coming up to the surface now and then for top level / strategic conversations. We believe people with backgrounds or interests in design, art, music, food or fashion tend to have a well rounded sense of design & quality — so a variety of hobbies or side projects is a big nice to have! Must Have Competencies: - Senior-level Python expertise - Experience with data/workflow orchestration tools (e.g., Prefect, Airflow, Dagster) - A thorough understanding ETL & data transformation for the ingestion of industry standard LLMs (OpenAI, Claude, etc) - Familiarity with Large Language Models (LLMs) - Skilled in interfacing with APIs (OpenAI, Google Gemini/Vertex, etc.) using wrapper libraries such as Instructor, LiteLLM, etc. - Practical experience in prompt engineering - Ability to work with structured outputs and potentially tool calling - 5+ years general experience in backend (Ruby on Rails, Elixir Phoenix, Python Django, or Node Express) and/or native app development (React Native, Flutter, Android, AOSP, Kotlin/Java). Nice to Have Competencies: We’re always pitching for new and exciting technology niches. Some of the areas below are relevant to us! - Experience with Google Cloud Platform (GCP), particularly Cloud Run and Cloud Tasks - Knowledge of search technologies, including embeddings and vector databases for semantic search, as well as keyword-based search (BM25) - Familiarity with PySpark for batch data processing - Experience working with LLMs, Vector Databases, and other generalist AI-enabled application patterns - Client-facing experience: working directly with customers to gather requirements and provide technical solutions - Product management experience: defining product roadmaps and collaborating closely with stakeholders - Engineering management experience: leading teams, setting technical direction, and mentoring developers - Recent experience working in a startup environment - NYC-based preferred for collaboration, but not a strict requirement. Compensation The pay scale ranges from $125 p/hr to $175 p/hr, $150-200k/year based on experience. In addition to cash compensation, equity may be offered for candidates with the right level of experience, commitment, and long-term alignment. How we interview: Our interview process starts with a call where you get to meet a few members of our team. From there we’ll ask appropriate candidates to take part in a technical exercise which helps illustrate skill level and comfort. Direct application link here: https://garden3d.notion.site/1f1131fea2c78095922ec7e09bd96101 (Tell us a bit about your interest in the role and share your information by filling out the questions.) Quick tip! Adding a Loom recording to your profile in our form to showcase your skillset can really make your application stand out!