Senior Database DevOps Engineer

Artefact

Artefact, a global AI and data consulting company with rapid growth, is looking for a creative and tech-savvy Senior AI Engineer (m/f/d) to join the tech team full-time. Ideally, you are located in Hamburg, Munich, Berlin or nearby - but if you're based elsewhere in Germany and a great fit, we would still love to hear from you. Could this be you? Our data & AI experts develop production-ready, scalable solutions that bring real business value to our clients. You’ll work in interdisciplinary teams of data scientists, engineers, analysts and consultants to shape the future of data- and AI-driven products.   Your responsibilities: Innovate. You’ll help identify business needs, explore data and AI use cases, and drive projects from idea to production - whether it’s a proof-of-concept or a scalable solution. Build. You’ll own your work end-to-end - from concept and architecture to implementation, optimization, and delivery. You design smart, robust solutions using data or LLMs and other AI technologies. Train. You’ll stay ahead of the curve - experimenting with new models, prompt engineering, fine-tuning, and tools. You’ll also share your knowledge within the team and benefit from our partners’ training offers (Google, AWS, etc.). Collaborate. You’ll work closely with clients, product owners, and non-technical stakeholders, balancing technical excellence with practical business impact. Gain broad experience: * Work on 1-3 projects per year across different industries and use cases - from customer service automation to knowledge management and internal tools. * Build real-world data and AI applications using modern tools like LangChain, PydanticAI, MCP servers, RAG pipelines, vector databases (e.g. FAISS, Weaviate), LlamaIndex, Vertex AI, OpenAI APIs, and Hugging Face models. * Shape the way clients use data and AI, driving innovation and best practices in production environments.   Your mindset: * Curious & forward-thinking. You are passionate about solving complex problems using cutting-edge AI and data technologies. * Hands-on. You have experience with LLMs (e.g. OpenAI, Claude, Gemini, LLaMA), prompt engineering, API integration, and ML frameworks. * Holistic. You understand the full ML lifecycle, including data preparation, model deployment, evaluation, and monitoring. * Communicative. You can break down technical concepts for diverse audiences in English and ideally in German as well. * Supportive. You coach junior team members, provide constructive feedback, and actively contribute to our culture of learning.   Profile: * Degree in computer science, AI, data science or similar field. * Experience: 3+ years of experience in machine learning or AI engineering, with hands-on AI projects in production. * Proficiency in Python and cloud-based AI services (GCP, AWS, or Azure). * Solid understanding of data analysis/engineering and AI-specific components like RAG, prompt design, fine-tuning, embeddings, and model evaluation. * Familiar with DevOps and ML-Ops best practices (Docker, Kubernetes, CI/CD). * Strong problem-solving skills, a sense of ownership, and a structured approach to work. * Languages: Business-fluent German and English (both written and spoken) are mandatory to participate in client workshops and deliver polished presentations. * Work Eligibility: A valid work permit for Germany.   Why ARTEFACT? * Challenging projects with national and international clients across industries (e.g. L’Oréal, Samsung, Allianz, Sanofi). * Diverse career paths, promotions based on your performance - not tenure. * Strong team culture and real collaboration across disciplines. * Personal development through workshops, certifications, coaching, and access to partner programs (Google, AWS, etc.). * Attractive benefits: hybrid work, flexible hours, 1 additional day off for your birthday, Christmas & New Year's Eve off, mental health support, 4 weeks of workation, corporate benefits, office brunch, team events, and more.   Let’s shape the future of AI - together! Don't worry if you don't meet all the criteria! At Artefact, we value motivation, pragmatic problem-solving, and potential above all else. If you are excited about shaping the future of AI and ready to make a real impact, we'd love to hear from you. Artefact is a global consulting company specializing in data and AI services, headquartered in Paris. With 2,000+ consultants, data scientists, and engineers across 26 countries, we work with global market leaders. At our German offices, we are on a rapid growth trajectory, advising leading national and international clients cross-industry on how to unlock the full potential of their data, build scalable data architectures, and implement cutting-edge AI solutions. Artefact is dedicated to leveraging data and AI to enhance organizations and their people. We believe that unique perspectives fuel innovation. At Artefact, we are committed to creating an inclusive environment where everyone can thrive. We welcome and consider all applications purely based on merit, skills, and potential - regardless of gender identity, sexual orientation, race, ethnicity, religion, age, background, or disability. Come as you are! Curious to learn more? Reach out to us at: bewerbung-de@artefact.com.

ICE

ABOUT ICE SERVICES ICE Services is a music technology company built by rightsholders, for rightsholders. We simplify the complexities of the music royalty chain through an innovative suite of licensing, processing, and copyright services, enabling our customers to accurately and efficiently compensate songwriters and composers for the use of their works.  A joint venture between PRS, STIM, and GEMA, ICE Services is the result of a big vision for the industry that harnesses years of combined experience in the multi-territory music market. Serving over 330,000 rightsholders and leveraging a copyright database comprising 55 million musical works, ICE Services’ operations touch 250+ territories to distribute more than €1bn in royalties per year, with a total of over €5bn distributed to date.   We’re based in the UK, Germany, and Sweden.     ABOUT THE ROLE As a Senior Backend Engineer, you will play a pivotal role in the development and enhancement of our new copyright product. Your responsibilities will include hands-on product engineering, working with a team of talented product engineers, designing and implementing complex systems, and collaborating with cross-functional teams to deliver exceptional products to our customers. If you thrive in a collaborative environment and possess a keen eye for detail, this is an excellent opportunity to contribute to groundbreaking projects and shape the future of the ICE Services' product portfolio. We’re building a strong foundation for our company on these products. Bringing the technical expertise in-house and being part of a modern, product-centric technology organisation that works based on agile methodologies and principles are key pillars of our technology strategy. We’re creating the kind of teams talked about in Inspired by Marty Cagan, and following principles in Accelerate by Nicole Forsgren. TECHNOLOGY STACK Our copyright product is primarily running in AWS with the following technologies: • Java SpringBoot Microservices • DynamoDB • OpenSearch • Postgres • S3 • Kinesis • SNS • SQS • Docker / ECS / EKS • Serverless frameworks   KEY RESPONSIBILITIES: * Architect and Implement: Work as part of a product engineering team to design and implement complex software systems, ensuring scalability, reliability, and performance. * Collaboration: Collaborate with product managers and cross-functional teams to define product requirements and create comprehensive technical specifications. * Code Reviews: Conduct thorough code reviews, providing constructive feedback to maintain code quality and adherence to best practices. * Technical Ownership: Take ownership of critical technical decisions and provide expert guidance in selecting appropriate technologies and tools. * Development Practices: Champion best development practices, includ- ing code documentation, unit testing, and version control. * Risk Mitigation: Identify and mitigate technical risks, proactively ad- dressing potential challenges throughout the product development lifecycle. * Industry Trends: Stay up-to-date with the latest industry trends and advancements, integrating new technologies to enhance product offerings and maintain a competitive edge. * AI-Assisted Engineering: Embrace AI-powered tools (e.g., coding assistants, automated testing, intelligent search) as productivity multipliers, and explore opportunities where AI can enhance our copyright products. * Mentoring: Mentor and coach junior engineers, fostering a culture of continuous learning and professional growth.   REQUIREMENTS AND QUALIFICATIONS: * Experience: 5 to 7 years of relevant experience in product engineering. Previous experience in a senior or lead engineering role is highly preferred. * Technical Expertise: Demonstrated expertise in programming languages such as Java alongside proficiencies in web technologies, database management, and cloud platforms. * Proven Track Record: A history of designing, developing, and delivering successful software products from concept to launch. * Collaboration Skills: Ability to work collaboratively with product managers, designers, and other stakeholders to translate product requirements into technical solutions. * Communication Skills: Clear and effective communication skills, both written and verbal, to convey technical concepts to technical and non-technical audiences alike. * Innovation: A passion for innovation, including openness to leveraging AI-powered tools and technologies in daily engineering work. Commitment to staying abreast of emerging technologies and industry trends. * Quality Focus: A strong commitment to code quality, unit testing, and other best practices in software engineering. * Adaptability: The ability to thrive in a fast-paced and rapidly evolving environment, with a willingness to take on new challenges and responsibilities. * Problem-Solving: Excellent analytical and problem-solving skills to resolve complex technical challenges.   WHAT WE OFFER: * Competitive local benefits based on your location * We promote flexible working regarding time and/or place * Both mental and physical health initiatives * Corporate pension scheme  * Comprehensive training and development opportunities  * Industry insider events, team socials and company events * Enhanced holiday allowance  We welcome candidates from all backgrounds, regardless of age, disability, gender, gender identity, gender expression, race, religion or belief, sexual orientation, socioeconomic background, and any other protected characteristic.  We are committed to making all stages of our recruitment process accessible to candidates with disabilities. Please speak to our recruitment team and we will work with you to make reasonable adjustments to ensure you can perform at your best throughout your application.

Databricks

FEQ427R199 The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.   The Lakebase product-line requires the following core technical competencies: * 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. * Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities. * Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. * Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud) The impact you will have * Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory. * As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision. * Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership. * Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams * Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.  Competencies & Responsibilities * 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption. * Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. * Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes. * Proficient in programming, debugging, and problem-solving using SQL and Python. * Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). * Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. * Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. * A track record of driving complex projects to completion in fast-paced, customer-facing environments.   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.