• Contribute to a culture of technical collaboration and scalable development • Contribute ideas and direct the team’s investment to impactful, data-driven directions • Be part of a team which has high visibility across the organization

Role Description Gestalte die nächste Generation von Data- & AI-Plattformen. Unsere Engineering Community wächst weiter – und wir suchen einen Senior Data Architect (m/f/*) mit Schwerpunkt Databricks, der moderne Data- und AI-Plattformen für führende Unternehmen in Deutschland gestaltet. In dieser Rolle verantwortest du die Architektur skalierbarer Datenplattformen auf Basis der Databricks Lakehouse Platform. Du arbeitest an anspruchsvollen Cloud-, Data- und AI-Initiativen, berätst Kunden auf strategischer Ebene und begleitest Teams von der Architekturvision bis zur produktiven Umsetzung. Du wirst nicht nur technische Lösungen entwerfen, sondern als Trusted Advisor auftreten, Architekturstandards definieren und die Weiterentwicklung unserer Data Community aktiv mitgestalten. Qualifications - Mehrjährige Erfahrung in Data Engineering, Data Architecture oder verwandten Bereichen - Nachweisbare Erfahrung mit Databricks in produktiven Enterprise-Umgebungen - Fundierte Kenntnisse von Databricks Lakehouse, Delta Lake, Unity Catalog und Apache Spark - Erfahrung mit mindestens einer führenden Cloud-Plattform (Azure, AWS oder GCP) - Erfahrung mit Datenmodellierung, Data Governance und Security-Konzepten - Sehr gute Kommunikationsfähigkeiten sowie fließende Deutsch- und Englischkenntnisse Requirements - Erfahrung mit Medallion Architecture, Data Mesh oder modernen Data Platform Strategien - Databricks- oder Cloud-Zertifizierungen - Kenntnisse in Terraform, Airflow oder Databricks Workflows - Erfahrung mit AI-, ML- oder GenAI-Plattformen - Erfahrung in der technischen Führung größerer Programme oder Teams Benefits - Arbeite an Projekten mit echtem Impact - Gestalte moderne Data- und AI-Plattformen für führende Unternehmen - Arbeite an komplexen Transformationsprogrammen mit strategischer Bedeutung - Lerne von internationalen Expert*innen - Zusammenarbeit mit Kolleg*innen in Europa sowie Nord- und Südamerika - Zugang zu einer starken globalen Engineering Community - Entwickle deine Karriere weiter - Individueller Entwicklungsplan und klarer Karrierepfad - Zeit und Budget für Zertifizierungen und Weiterbildung - Zugang zu Udemy Business und weiteren Lernplattformen - Flexibilität, die zu deinem Leben passt - Remote-first mit hybriden Arbeitsmöglichkeiten - Bewerber*innen müssen in Deutschland ansässig sein Technology Stack - Databricks - Delta Lake - Unity Catalog - Apache Spark - Python - SQL - Terraform - Databricks Workflows - Airflow - Azure - AWS - GCP Success After 12 Months - Du hast Architekturstandards für mehrere Kundenumgebungen definiert - Du hast mindestens eine strategische Databricks-Plattform erfolgreich mitgestaltet - Du bist ein geschätzter Sparringspartner für Kunden und interne Teams - Du hast aktiv zum Wachstum unserer Data Community beigetragen Company Description Ultra Tendency is an international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. Since 2010, we have helped leading organizations—including the European Central Bank, Deutsche Telekom, and Europe’s largest automotive manufacturer—build and operate large-scale, data-driven platforms. With 8 offices across 10 countries and a growing global team, we combine deep technical expertise with a strong commitment to open source. Our consultants actively contribute to projects such as Apache Kafka, Apache NiFi, Terraform, and Ansible, and we are a trusted Databricks partner. At Ultra Tendency, you'll work on challenging projects that push the boundaries of Data and AI while collaborating with talented colleagues in a culture built on learning, knowledge sharing, and mutual support.

Role Description As a Senior Data Engineer – Databricks, you will work closely with data engineers, data scientists, architects, and business stakeholders to design and implement robust data solutions using modern cloud and data technologies. - Design, implement, and maintain scalable data pipelines on the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake. - Develop and optimize batch and streaming data workflows that support analytics, machine learning, and business intelligence use cases. - Collaborate with cross-functional teams to translate business and data requirements into reliable, production-ready solutions. - Improve the performance, scalability, and cost efficiency of data processing workloads within Databricks environments. - Support the implementation of best practices for data quality, governance, security, and compliance. - Contribute to architectural discussions and help shape modern data platform strategies for clients. - Mentor and support junior engineers while fostering knowledge sharing across the team. Qualifications - Strong hands-on experience with Databricks and Apache Spark (PySpark, SQL, and/or Scala). - Experience building and operating cloud-based data platforms on AWS, Azure, or GCP. - Solid understanding of distributed data processing, data modeling, data warehousing, and performance optimization. - Experience with CI/CD practices and version control systems such as Git. - Familiarity with orchestration frameworks such as Airflow, Azure Data Factory, or Databricks Workflows. - Experience working in agile and cross-functional environments. - Strong communication skills in English & German. - A collaborative mindset and passion for building reliable, scalable, and maintainable data solutions. Benefits - Work with leading enterprise customers across Europe. - Be part of a rapidly growing Data & AI consultancy. - Access to cutting-edge technologies in Data Engineering, Analytics, AI, and GenAI. - Opportunity to shape and expand Ultra Tendency's Databricks practice. - Continuous learning and certification support. - Flexible and remote-friendly working environment. - Competitive compensation package. - Collaborative, entrepreneurial, and international culture. Eligibility - Applicants must currently reside in Germany and possess the legal right to work in the country. - Unfortunately, we are unable to provide relocation assistance or visa sponsorship for this position. Company Description Ultra Tendency is an international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. Since 2010, we have helped leading organizations—including the European Central Bank, Deutsche Telekom, and Europe’s largest automotive manufacturer—build and operate large-scale, data-driven platforms. With 8 offices across 10 countries and a growing global team, we combine deep technical expertise with a strong commitment to open source. Our consultants actively contribute to projects such as Apache Kafka, Apache NiFi, Terraform, and Ansible, and we are a trusted Databricks partner. At Ultra Tendency, you'll work on challenging projects that push the boundaries of Data and AI while collaborating with talented colleagues in a culture built on learning, knowledge sharing, and mutual support.

Role Description We at Coforge are hiring a Lead Data Engineer with the following skill set. - Own and evolve end-to-end data pipelines that power Marketing, Product, and Growth analytics. - Responsible for integrating multiple systems, modeling data, and enabling actionable insights for business stakeholders. - Work with GA4 raw event data at scale (hundreds of millions of rows), build identity resolution pipelines that stitch anonymous visitors to known customers, and ensure clean, reliable data flows from ingestion through activation. - Operating across the full data lifecycle — from ingestion to visualization — while collaborating closely with product, marketing, and leadership teams. Qualifications - Proven experience building and managing end-to-end data pipelines. - Strong hands-on experience with: - Google Cloud (BigQuery) as a primary warehouse - dbt for data transformation and modeling - SQL - Fivetran (or similar ingestion/connector tools) - Experience processing GA4 raw event data at scale. - Experience with identity resolution across multiple platforms (stitching anonymous → known users). - Strong understanding of data modeling, warehousing concepts, and ELT patterns. - Experience integrating data across multiple business systems (product telemetry, marketing, CRM, e-commerce). Requirements - Experience with Segment (or similar CDP). - Experience with AWS Redshift (we maintain a read-only mirror). - Experience with Braze or similar customer engagement platforms. - Familiarity with Shopify data models (orders, customers, subscriptions). - Exposure to growth analytics, experimentation, and user lifecycle tracking. - Experience with BigQuery scheduled queries, Data Transfer Service, or workflow orchestration (Airflow, Dagster). - Familiarity with streaming/event-based and webhook architectures. - Comfort with AI-assisted development (Claude, Copilot). - Experience in high-growth or product-led organization. Company Description At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.