Bid Manager (m/f/d) at Tieto Tech Consulting | Berlin

Tietoevry is looking for a Bid Manager (m/f/d) to join its Tieto Tech Consulting team in Berlin. This position shapes how the company competes for new business, focusing on the full lifecycle of strategic bidding. Key responsibilities Develop and lead competitive bids and proposals for clients Collaborate with colleagues from various teams to collect input a…

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.

Tieto Tech Consulting seeks a Data Architect (m/f/d) based in Berlin. This position focuses on designing and building data architectures that help clients transform information into actionable insights. The role covers shaping data models, setting up integration processes, and establishing governance frameworks to support data quality and accessibility. Key responsibilities Design and implement data architectures tailored to specific client requirements Develop and refine data models to address different business scenarios Set up and improve data integration processes Create and maintain frameworks for effective data governance Work to ensure data remains accurate, consistent, and easy to access Requirements Solid experience in data architecture or a closely related discipline Ability to communicate complex technical concepts to people without a technical background Interest in data analytics and how organizations can use data strategically Creative approach and readiness to contribute new ideas This role offers the opportunity to work on projects that make a tangible difference for clients, supporting better decision making through data.

Tietoevry is hiring a (Senior) Data & AI Engineer in Berlin. This position centers on designing and building data solutions that use artificial intelligence to solve real business problems. Role overview As part of Tieto Tech Consulting, this engineer will collaborate with experienced colleagues to create data-driven systems. The work involves turning complex data into practical insights and supporting business decisions through analytics. What you will do Design and implement data solutions that incorporate AI methods Work closely with industry experts to deliver projects Help transform data into insights that support business goals Requirements Experience in data engineering and artificial intelligence Ability to develop solutions that turn data into actionable information Interest in advanced analytics and its business applications

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.

Tietoevry seeks an SAP Solution Architect in Berlin to guide clients in optimizing business processes using SAP technologies. This role offers both full-time and part-time options, supporting a flexible approach to work schedules. Role overview The SAP Solution Architect will work with clients to analyze business needs and recommend SAP-based solutions that drive improvement. The focus is on using SAP tools to support better business outcomes and efficiency. Work arrangements This position accommodates professionals seeking flexibility, with both full-time and part-time schedules available. Tietoevry values work-life balance and adapts to different availability needs. Requirements Experience working with SAP technologies Ability to understand and improve business processes Comfortable collaborating with clients to identify solutions

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.

At GALVANY, we are dedicated to transforming climate-neutral living into a reality for all. Our core focus lies in implementing effective solutions such as heat pumps, battery storage, and smart metering, making them accessible, reliable, and affordable. GALVANY-Tech is pioneering the energy transition through innovative software solutions. We are developing an AI-driven Operating System that facilitates the sales, planning, installation, and operation of heat pumps and integrated energy systems, catering to everything from single-family homes to multi-unit buildings, and operating within our Energy Community as a Virtual Power Plant.As a successful green-tech startup, we believe that sustainable impact and long-term growth can only be achieved through a robust business model. We prioritize customer value, transparency, and accountability, standing firmly for top-quality heating solutions and fostering an environment where individuals take charge and create lasting changes.The RoleAs a Senior Data Engineer at GALVANY, you will design and maintain the data infrastructure that supports our AI-based Operating System. You will process real-time energy data from heat pumps and integrated systems, construct data pipelines that empower AI models and analytics, and guarantee the integrity of data across our entire ecosystem—from individual residences to our Virtual Power Plant.

Are you an experienced expert in the field of data centers, specializing in cooling/air conditioning technology or electrical engineering? Do you possess at least five years of professional experience in planning or executing data center projects? Are you enthusiastic about communicating with clients and planning teams while actively contributing to the design of future-proof infrastructures?If so, join us as a Senior Consultant in Data Centers within our interdisciplinary construction consulting team!Develop sustainable, innovative concepts and tailored solutions to enhance energy efficiency and availability of data centers.Analyze existing technical systems (e.g., cooling systems, energy supply) and identify optimization potentials.Advise and support our clients in the planning, implementation, and optimization of technical systems in data centers.Demonstrate added value for all project participants—from users and investors to operators and planners.Contribute to exciting projects in the realms of Smart Data Centers, Artificial Intelligence, and other innovative fields.

Lead the design, development, and management of large-scale, distributed data systems that power our media and advertising solutions.Take complete ownership of our systems throughout their lifecycle, encompassing architecture, implementation, testing, deployment, operations, and ongoing evolution.Collaborate with cross-functional teams to establish robust data models, pipelines, and APIs that guarantee consistent and high-quality data delivery.Work closely with engineers, data scientists, and product teams to foster improvements, introduce innovative ideas, and uphold technical excellence.Drive continuous optimization and performance enhancements across our platforms.Exhibit curiosity and proactivity—explore emerging technologies, propose groundbreaking solutions, and elevate engineering standards.

Join Almedia, a pioneering force in reshaping the marketing landscape. We are on a mission to become Germany’s second bootstrapped unicorn, already recognized as Europe’s third fastest-growing company in 2025 (FT1000).At Almedia, we empower our community of over 60 million users by rewarding them for engaging with our advertisers’ products. Our innovative approach is transforming user acquisition strategies for some of the largest companies worldwide.Data EngineerAs a Data Engineer at Almedia, you will play a pivotal role in designing, implementing, scaling, and maintaining the code that drives our production environment. Enjoy the freedom to innovate as you develop the next generation of our data and backend platforms—building robust APIs, pipelines, and leveraging both self-managed and cloud infrastructure to deliver reliable, high-impact systems.A strong technical mindset and a passion for continual improvement are essential.

Join scaleon, a strategic consultancy dedicated to empowering businesses in their transformational journeys. We don't just talk about change; we enable it through actionable insights and robust strategies. In a dynamic world where stagnation equates to regression, we assist organizations in proactively crafting their futures by establishing clear strategies, sustainable frameworks, and a culture that embraces change.Your Impact:Facilitate clients and our team in methodically defining the optimal path, collaboratively exploring options, and establishing a clear strategic direction.Emphasize digital transformation in business models, believing that growth and digital change arise not only from strategy but also from effective management approaches and cultural shifts.Contribute to building a premier consultancy, elevating scaleon to new heights, and developing innovative ideas and consulting products for our clients.As a Senior Management Consultant, lead strategy projects alongside our partners and within teams, bringing creativity and fresh perspectives while taking on leadership and outcome responsibilities.

To enhance our financial management and empower data-driven decision-making across our organization, we are expanding our Finance & Data teams. We are seeking a Senior Data Analyst (Finance) (m/f/d) to join us on a full-time basis.This role offers a hybrid working model, primarily based in our Berlin office located on Chausseestraße.Your Role within the TeamAs a Senior Data Analyst (Finance) (m/f/d), you will take charge of our financial data, reporting, and performance metrics. Collaborating closely with the Head of Finance and our Data Platform and Analytics teams, you will ensure high-quality financial insights are readily available to support our planning, budgeting, and strategic decision-making processes.Your key responsibilities will include:Managing financial data, reporting, and performance metrics in collaboration with the Head of Finance to identify needs and set priorities.Defining, developing, and continuously refining financial data warehouse models with support from the Data Platform and Analytics teams.Assisting the Finance team with both ad-hoc and recurring analyses, reports, and data extracts.Actively participating in the Planning & Budgeting process alongside the Finance team.Monitoring, analyzing, and communicating key financial and operational KPIs to the management team, emphasizing trends, risks, and potential outliers.Continuously enhancing financial reports, processes, and data structures to ensure scalability, accuracy, and reliability as we grow.

Natuvion’s Berlin engineering group specializes in building and implementing AI solutions that reshape enterprise data. Drawing from real customer projects, the team transforms insights into software that delivers measurable results. Their work is rooted in the Natuvion Cloud Platform (NCP), with a separate cloud team ensuring scalability. Even when developing prototypes, the group maintains rigorous technical standards and disciplined processes. As part of a 500-person company and SAP Gold Partner, the team enjoys strong support while operating with the agility of a small, focused unit. Key Focus Areas Content Corpus: Organizing and structuring Natuvion’s transformation knowledge to make it searchable and accessible for AI agents. This includes building infrastructure to process and convert millions of lines of content into a valuable resource. Embedded Prototyping: Working directly with consultants on customer transformation projects to spot opportunities for AI, develop prototypes, and test them with real users. AI and Agentic Coding Practices: Leading the integration of AI into products and engineering workflows, and setting tools, methods, and standards that guide the company. Why Join as a Senior AI Consultant? Tackle substantial, real-world challenges in enterprise data transformation, involving millions of records and complex business logic. Solutions must meet actual customer needs. Take ownership of projects from start to finish, with the autonomy to decide what to build and how to deliver it. Use AI and agentic coding as core tools in daily work, not as side projects. Be part of a small, high-impact team with direct access to major clients such as BMW, Volkswagen, E.ON, and Lufthansa, enabling quick iteration and meaningful innovation. What You Will Do Lead the development of AI-driven prototypes tailored to customer needs, working hands-on within transformation projects. Collaborate with cross-functional teams to strengthen AI integration across processes and systems. Help define and shape standards and practices that drive Natuvion’s AI strategy across the company.

Join our dynamic team at Tieto Tech Consulting as a Senior Marketing & Communications Specialist. In this pivotal role, you will be responsible for developing and executing innovative marketing strategies that enhance our brand visibility and drive engagement across various channels. You will work closely with cross-functional teams to create compelling content, manage campaigns, and analyze performance metrics to optimize our outreach efforts.

Join Tieto Tech Consulting as a Senior SAP FI/CO Consultant (m/f/d) where you will leverage your expertise in SAP Financial Accounting (FI) and Controlling (CO) to drive innovative financial solutions for our clients. As part of our dynamic team in Berlin, you will work on challenging projects in a collaborative environment that encourages professional growth and development.

About the RoleWe are seeking a proactive and skilled Senior Growth Engineer to architect, implement, and oversee scalable API integrations that link HelloFresh with various external partner ecosystems, such as telecoms, financial service providers, loyalty programs, and health and wellness platforms.This position merges hands-on technical execution—building and deploying APIs, data workflows, and automation—with comprehensive project ownership, which involves defining requirements, managing partnerships, and ensuring timely delivery.You will take charge of integrations from initial design to production, providing seamless partner connectivity that facilitates subscription bundling, loyalty rewards, account linking, and nutritional data exchange—all while ensuring reliability, compliance, and an exceptional customer experience.

Join our innovative team at bunch as a Senior Backend Engineer where you will play a pivotal role in shaping the future of our backend systems. You will collaborate with cross-functional teams to design, develop, and maintain robust, scalable backend solutions. Your expertise will be essential in ensuring the performance, quality, and responsiveness of our applications.

Join Veeva Systems as a Data Consultant and leverage your expertise in data analysis and management to drive impactful solutions across the European market. In this role, you will collaborate with cross-functional teams to enhance data accessibility and usability, empowering clients to make informed decisions.

Team OverviewThe Card Not Present (CNP) Protect team is a dynamic, cross-functional unit within SumUp's Risk & Compliance tribe. We are dedicated to safeguarding millions of merchants by mitigating fraud in our card-not-present offerings. Our team excels in developing robust machine learning systems and data pipelines that facilitate real-time automated decision-making. We are currently enhancing our infrastructure to incorporate foundation model embeddings. This role offers significant ownership and impact, directly influencing the efficacy of our fraud detection mechanisms.Key ResponsibilitiesDesign, implement, and sustain high-quality Python-based data pipelines that support machine learning workflows, featuring real-time and near-real-time data processing.Assume complete responsibility for data quality and reliability, executing validations, automated testing, monitoring, and alerting with established SLAs.Enhance our data foundation by meticulously documenting architecture, data lineage, dataset definitions, and managing dependencies.Lead the governance of our Feature Store, refining usability and standardizing setup to enable data scientists to operate with speed and confidence.Collaborate closely with the Risk Platform, ML Data Platform, data scientists, software engineers, and analysts to ensure safe deployment of changes to production.