Senior Software Engineer

About the role

Statista is a global business data platform helping users make informed decisions through reliable analytics. We are looking for a senior developer to manage backend services and data pipelines while guiding technical strategy. You will help us scale our infrastructure and improve how we handle user data across our international systems. In this capacity, you will own the design and delivery of robust backend services that power our data products. You will play a key role in aligning our technical direction with the demands of a growing global customer base. Your work will ensure that data flows reliably between internal systems and external marketing channels. You will contribute to strategic decisions that shape the future of our analytics infrastructure.

Key facts

What you'll do

• Develop and maintain backend services using Kotlin and Python, ensuring high performance and stability.
• Create event-driven architectures that link internal systems with marketing channels and Customer Data Platforms.
• Manage the collection, transformation, and activation of user data to ensure high performance and accuracy.
• Lead technical design discussions and provide mentorship to other engineers on the team.
• Work with product, marketing, and data teams to align software solutions with company objectives.
• Monitor system reliability, security, and observability through testing and CI/CD improvements.
• Support frontend tasks or monolithic application maintenance when required to meet delivery goals.
• Use AI tools to enhance code quality and individual developer output in daily workflows.
• Implement data processing workflows that handle large volumes of information with precision.
• Collaborate with cross-functional partners to define requirements and translate them into technical tasks.
• Optimize database queries and data pipelines to reduce latency and improve user experience.
• Document system behavior and architecture decisions to support long-term maintainability.
• Participate in on-call rotations to respond to production incidents and support operations.
• Evaluate new technologies and tools that can improve our stack and development practices.

Requirements

• 5+ years of professional software engineering experience in a relevant field.
• Proficiency in Java, Kotlin, and Python for building scalable and maintainable systems.
• Practical knowledge of relational and non-relational database systems for effective data handling.
• Background in building scalable backend infrastructure and event-driven systems is essential.
• Experience with cloud environments, specifically AWS, to deploy and manage services.
• Familiarity with streaming and messaging tools like Kafka for real-time data processing.
• Strong ability to communicate and collaborate across different departments and teams.
• Understanding of software development lifecycle and best practices for clean code.
• Ability to troubleshoot complex issues and diagnose problems in production environments.
• Willingness to learn and adapt to new tools, frameworks, and business requirements.
• Commitment to writing tests and maintaining high standards of code quality.
• Capacity to work independently and take ownership of assigned tasks and projects.
• Respect for data privacy and awareness of relevant data handling regulations.
• Fluency in English is required for effective communication within the team.

Nice to have

• Familiarity with MarTech ecosystems and Customer Data Platforms such as Segment, Braze, Salesforce, or Hightouch.
• Experience with cloud data warehouses like Snowflake, Amazon Redshift, or BigQuery for analytics workloads.
• Experience building AI-driven workflows, LLM integrations, or AI agents to enhance product capabilities.
• Knowledge of frontend technologies that allow you to support UI components when necessary.
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Understanding of data governance and compliance practices in global environments.
• Background in mobile data integration or working with mobile SDKs and tracking solutions.
• Familiarity with analytics platforms and digital measurement concepts.

Practical notes

• This is a full-time position with hybrid work arrangements available between Hamburg and Berlin.
• Employees may work from abroad for up to 30 days annually under the current policy.
• The role is based within the Tech team and reports to relevant engineering leadership.
• Professional development and training programs are available to support career growth.
• Benefits include access to fitness and wellness programs as part of the company package.
• Urban mobility subsidies are provided to support sustainable commuting options.
• Mental health support is available via the OpenUp platform for confidential assistance.
• Free access to Langdock is offered to help with language development and skills.
• Please note that certain benefits are specific to the German entity and may vary by location.
• The company is focused on building a diverse and inclusive workplace for all employees.
• Applications will be reviewed on a rolling basis until the position is filled.
• Candidates are encouraged to highlight relevant experience in the fields mentioned above.
• This role requires availability for hybrid work and participation in both remote and onsite activities.
• Timely communication and proactive collaboration are essential for success in this position.
• The selected candidate will be expected to engage in continuous learning and knowledge sharing.
• This position is part of Statista's broader efforts to strengthen its analytics and data capabilities.
• The work environment is fast-paced and requires adaptability, curiosity, and strong problem-solving skills.
• You will work with modern tooling and have the opportunity to influence engineering standards.
• The team values transparency, ownership, and a data-driven approach to decision making.
• This role contributes directly to the reliability and performance of Statista's data products.
• Your contributions will help shape how internal and external stakeholders access and interpret data.
• By joining this team, you will support initiatives that make complex data accessible and actionable for users worldwide.
• The position aligns with Statista's mission to provide trusted analytics that drive informed decisions.
• You will be part of a collaborative culture focused on quality, innovation, and measurable impact.
• This role represents an opportunity to grow your career while working on challenging problems in the data space.