Staff Software Engineer, Full Stack (m/f/d)

Join the innovative team at emnify as a Staff Data Engineer (m/f/d) in Berlin, where you will play a critical role in enhancing our data infrastructure and driving data-driven decisions. You will collaborate with cross-functional teams to design and implement scalable data solutions, ensuring the integrity and accessibility of our data resources. If you are passionate about data engineering and want to make a significant impact in a dynamic company, apply now!

Join our dedicated team at europeanhomecaregmbh as a Psychologist (m/f/d) in Berlin. We are seeking an empathetic and skilled professional to provide mental health support and counseling services to our diverse clientele.

At Entyre, we are dedicated to revolutionizing healthcare by effectively balancing the needs for care through the innovative integration of human expertise and cutting-edge technology. Our committed care consultants operate internationally, empowered by our proprietary software solutions.We hold a strong belief that individuals requiring care, supported by their families at home, deserve to lead a self-sufficient and dignified life within their own residences. Through our initiatives Pflegewegweiser and Entyre Care, we strive to fulfill this vision by focusing on two fundamental aspects: delivering professional support to family caregivers across all domains of home care with our extensive knowledge and ensuring fair financial compensation for their invaluable contributions. Moreover, we are actively engaged in developing pioneering solutions in partnership with academic collaborators.In this essential, dynamic, and international setting, we are seeking a Staff Engineer (m/f/d) to become an integral part of our team in Berlin.Role OverviewWe are in search of a seasoned Staff Engineer to take charge of the entire software development lifecycle, encompassing design, implementation, and deployment. In this pivotal position, you will apply your profound technical knowledge to create high-quality, scalable software solutions while working closely with stakeholders across Germany, Switzerland, and the United States. Your contributions will be instrumental in defining our technical strategy and fostering ongoing enhancements within our systems and processes, ultimately making a significant impact on our growth journey.

smava GmbH is Germany’s leading online credit comparison platform. The company focuses on making loans more transparent, fair, and affordable for consumers. With over 300,000 customers, smava continues to influence the digital landscape of consumer lending. Role overview The Data Engineer (f/m/d) will join the Data Platform team in Berlin. This group is responsible for providing the data infrastructure and services that power the entire organization. Their work enables teams across smava to make informed decisions, with a strong emphasis on speed, safety, and security. What you will do Maintain, improve, and update the data platform to meet evolving business requirements. Design and implement data models, including those using Data Vault methodologies. Develop scalable batch and streaming data pipelines for efficient data processing. Collaborate with Business Analysts, Analytics Engineers, Data Scientists, and fellow Data Engineers on important data projects. Uphold high standards for data reliability, quality, and performance throughout the systems. Promote improvements in infrastructure by applying best practices and automation. Technology stack AWS: Redshift, S3, Kinesis, Glue, Aurora, DMS, EC2, ECS, Fargate, and more Data Engineering: Python, dbt, Dagster, Matillion Infrastructure: Terraform, Docker, CI/CD Other Tools: Segment, Linux, Tableau Further details about the team's work can be found in these articles on AWS and Dagster. This role is based in Berlin.

Statista Inc. is hiring a Data Engineer - Tracking Infrastructure (m/f/d) to help shape the systems that power its statistical data platform. This position is based in Hamburg or Berlin. Role overview This role centers on designing and maintaining tracking systems that collect and process data across Statista’s products. The focus is on keeping data accurate, reliable, and accessible for analytics and reporting. Collaboration Work closely with colleagues from different teams to streamline data workflows. Efforts in this area help improve how data moves through the organization and support better analytics outcomes. Key responsibilities Design and maintain tracking infrastructure Ensure data accuracy and accessibility Collaborate with cross-functional teams to optimize workflows Support enhancements to analytics capabilities

Join our dynamic team as a Mid-Level Data Platform Engineer (m/f/d) and play a crucial role in building and maintaining the data infrastructure that drives Flix’s innovative mobility platform.At FlixTech, our cutting-edge data platform empowers teams across the organization to effectively process, analyze, and leverage vast amounts of mobility data. This infrastructure is vital for key functionalities such as network planning, pricing, operations, and business intelligence. You will develop scalable systems that handle millions of events daily, ensuring dependable data access for the entire organization.As part of a collaborative, cross-functional engineering team, you will work closely with data analysts, data scientists, and platform engineers. Your contributions will focus on establishing robust, scalable data systems that enhance data accessibility and efficiency for various teams.

Design, develop, and manage extensive, distributed data systems that enhance media and advertising products.Take complete ownership of the entire lifecycle of our systems, encompassing architecture, implementation, testing, deployment, operations, and their ongoing evolution.Collaborate with cross-functional teams to establish robust data models, pipelines, and APIs that guarantee reliable and high-quality data delivery.Work closely with engineers, data scientists, and product teams to implement improvements, introduce innovative ideas, and maintain technical excellence.Contribute to the continuous optimization and performance enhancements of our platforms.Stay inquisitive and proactive, explore emerging technologies, propose innovative solutions, and elevate the engineering standards.

About the Role Statista is looking for an Engineering Manager to guide the Data & Analytics Engineering team in Hamburg or Berlin. This role centers on leading projects, supporting team growth, and working closely with other groups to deliver strong data solutions for the company. What You Will Do Oversee and coordinate projects within the Data & Analytics Engineering team Mentor and support team members in their professional development Work with cross-functional teams to build and improve analytical tools and data-driven solutions Help strengthen Statista’s analytical capabilities to support informed decision-making Location This position is based in Hamburg or Berlin.

Role Overview Statista Inc. is seeking a Data Engineer focused on Survey Tools to join the team in Hamburg or Berlin. This position centers on building and supporting data systems that improve how survey data is collected and managed. What You Will Do Design, implement, and maintain data systems for survey data collection Work with teams across different functions to create solutions that support analytical requirements

Design and develop efficient ETL/ELT processes to ensure optimal data processing and analysis.Build and maintain data pipelines delivering real-time data while assisting teams in creating data-driven products such as personalization, recommendations, and tracking systems.Develop interfaces for external systems and ensure reliable integration of new data sources (e.g., REST APIs, Google Analytics).Automate testing and deployment processes for data models, ETL jobs, and machine learning applications.Manage infrastructure components for Big Data and streaming technologies (e.g., ClickHouse, Kinesis), ensuring high availability and efficiency.Ensure high data quality and develop strategies for continuous system optimization.Contribute to the development and integration of machine learning models to enhance personalization and recommendation systems.Actively participate in our DevOps team and take responsibility in on-call duties.Document technical processes to ensure transparency and traceability of all data operations.

Join our innovative team at Axel Springer SE as a (Senior) Software Engineer specializing in Data. In this role, you will lead the design and implementation of data-driven solutions that enhance our digital products. You will work collaboratively with cross-functional teams to develop scalable software solutions that meet our users' needs.

Join our dynamic team at redcare-pharmacy as a Staff Engineer specializing in Retail Media and AdTech Solutions. In this pivotal role, you will leverage your expertise to drive innovative solutions within the retail media landscape, optimizing advertising technologies that enhance our clients' visibility and reach. Collaborate with cross-functional teams to develop and implement cutting-edge ad solutions that meet the diverse needs of our customers.

Join scalablegmbh as a Staff Engineer - Client Technology and be at the forefront of innovation in client technology solutions. You will collaborate with a dynamic team to design, develop, and implement cutting-edge technologies that enhance client experiences. Your expertise will be integral in driving projects from concept to completion, ensuring high performance and scalability.

Tieto Tech Consulting, part of TietoEVRY, is hiring a Lead Data Engineer in Berlin. This role centers on guiding the development of data infrastructure and analytics, ensuring data systems meet both analytical and operational goals across several projects. Role overview The Lead Data Engineer will take charge of designing and building reliable data pipelines and architectures. Collaboration is key, as the position works closely with data scientists, analysts, and other stakeholders to deliver accurate, high-quality data. Mentoring team members and supporting their technical growth is also a core part of this role. What you will do Design and implement robust data pipelines and system architectures Collaborate with cross-functional teams to deliver data solutions Mentor and support the technical development of team members Promote and establish best practices in data engineering Requirements Proven experience leading data engineering projects Strong background in building and maintaining data solutions Ability to work well with colleagues from different disciplines Interest in developing others and setting technical standards This position is based in Berlin with TietoEVRY.

At Enpal, our ambition is to place a solar panel on every roof, a storage unit in every home, and an electric vehicle in every garage. We achieve this through an all-in-one solution for decentralized energy, encompassing solar panels, battery storage, wall boxes, smart meters, and heat pumps. At the core of our operations is our AI-powered platform Enpal.One+, intelligently connecting thousands of systems and optimizing electricity consumption and feed-in on the energy market.Are you ready to bring solutions that are more than just promises, delivering real quality of life to thousands of households every day? What you create at Enpal will provide clean energy tomorrow and sustainably transform how we use energy.

About IvyAt Ivy, we are pioneering the world’s first programmable bank. We recognize that the future of banking will be fully regulated and stablecoin-native. While crypto innovators hesitate over traditional banking charters, conventional banks often lack the necessary understanding of crypto. We see a trillion-dollar opportunity to establish regulated banks built on blockchain technology.Currently, we serve the world’s premier crypto platforms, like Kraken. Our vision extends to becoming the backbone of global correspondent banking. And as we venture into banking for AI agents, we believe that if executed perfectly, Ivy could become Europe’s first $1 trillion company.Our team comprises ex-founders, early employees from unicorns, and elite talent from fintech and banking sectors, all supported by the world's leading fintech investors:Valar - Peter Thiel and the Valar team have been pioneers in global finance since the PayPal era.Creandum - Previously invested in successful fintechs like Klarna, Trade Republic, Pleo, and iZettle.10+ unicorn founders on our team.Your MissionAs our inaugural data hire, you will have full ownership over the data infrastructure, strategy, and architecture, leading the charge from inception to implementation. There are no existing frameworks or legacy systems; you will define excellence and create it.Your role will involve designing and managing the data foundation crucial for the entire organization. You will create data pipelines, warehouses, models, analytics, and provide real-time insights. Your goal is to ensure that data is accurate, rapid, and reliable for both humans and automated systems.Collaborating with engineering, product, and business teams, you will influence data flow and develop the foundational elements for intelligent financial operations, empowering the company to make informed decisions with confidence.Team MissionAt Ivy, we are building The Dark Bank - a bank operated by agents. Our infrastructure team (DevOps, Security, Data) lays the groundwork for this vision. We are a compact, intelligent, ambitious team, and you will collaborate closely with the CTO, Lead DevOps, and Head of Product. Expect to work independently and be entrusted with decision-making.Your First Six Months at IvyIn your first months...

At Enpal, we are more than just a company; we are a transformative force in the energy sector. As a renowned greentech unicorn and one of Europe’s most rapidly expanding energy firms, we are committed to making solar energy both accessible and effortless for homeowners throughout the continent. Our cutting-edge business model encompasses solar panels, heat pumps, home energy storage systems, and EV charging stations, revolutionizing the residential energy market. With our mission to empower homeowners to adopt clean energy solutions, we are forging a path towards a sustainable and decentralized energy future.As a frontrunner in the residential solar energy space, Enpal is on a growth trajectory, with a clear ambition: to lead Europe’s transition to sustainable and decentralized energy generation.Position OverviewAs the Staff Engineer for Authentication & Authorization, you will spearhead the development of identity and access strategies across Enpal’s digital and device ecosystem.This pivotal role ensures:Secure interactions for millions of devices, users, and services.Safe scaling of our platform across customers, partners, installers, and internal operations.Identity as a shared capability, rather than being reinvented by individual teams.Compliance with evolving privacy, security, and regulatory standards while maintaining developer velocity.You will act as both an architect and a hands-on engineer, defining how identity, trust, and access are integrated across cloud services, IoT infrastructure, and customer-facing applications.Key Responsibilities:Define the Identity Architecture:Take ownership of the comprehensive authentication and authorization model across Enpal systems.Design scalable identity solutions for:Customer platforms and mobile/web applications.Internal operational tools and partner integrations.Machine-to-machine and event-driven communication.Establish multi-tenant identity and access control patterns across various markets and product lines.Develop a Secure-by-Default Platform:

Join praxipal, where we are pioneering an AI-driven administrative workforce for healthcare aimed at alleviating the global shortage of medical personnel.Our medical assistants are crucial and deserve to focus on patient care rather than administrative tasks like managing callbacks, scheduling, and handling invoicing. This is why we developed Luna.Luna, our AI receptionist, efficiently manages and automates phone communications, earning the trust of over 100 medical practices. We are now expanding Luna's capabilities from voice interactions to comprehensive patient communication across all channels. Our vision is to evolve Luna into a fully-fledged AI solution that automates all administrative functions within medical practices, seamlessly integrated into existing systems.With backing from one of Europe’s premier investors, we are among the fastest-growing healthtech startups in Germany. Our diverse team includes alumni from Palantir, Amazon, SAP, the University of Cambridge, and the Hasso Plattner Institute.We are seeking a Senior Software Engineer focused on data integration to establish the technical foundation that will allow Luna to streamline workflows across numerous medical practices.

Join Accor, a global leader in hospitality, as a Banquet and Service Staff member in the vibrant city of Berlin. You will be responsible for providing exceptional service during events and ensuring guests have a memorable experience.