Sr. Data Engineer (m/f/d)

TN Germany; München; Hybrid; EUR 55.000 - 90.000; Vollzeit

Zusammenfassung

Join a forward-thinking FinTech company as a Sr. Data Engineer, where you'll develop and optimize data pipelines, design backend systems, and collaborate with dynamic teams. This innovative firm values autonomy and continuous improvement, offering flexible working options and opportunities for professional growth. With a commitment to excellence and a culture of feedback, you'll play a crucial role in shaping the future of banking and finance. If you're passionate about data engineering and eager to make a meaningful impact, this is the perfect opportunity for you!

Leistungen

Flexible working hours

Annual budget for personal development

Access to coaching sessions

Food allowance

Mobility benefits

State-of-the-art equipment

Participation in team events

Childcare support

Remote work options

Bright office with roof terraces

Qualifikationen

• 5+ years of experience in backend development or data engineering.
• Proficiency in Java, Python, Scala, or Kotlin and CI/CD practices.
• Experience with SQL, NoSQL, and data pipeline management.

Aufgaben

• Develop and manage data processing pipelines for analytics and machine learning.
• Design and maintain backend services, ensuring scalability and efficiency.
• Collaborate with cross-functional teams and mentor junior developers.

Kenntnisse

Backend Development

Data Engineering

Java

Python

Scala

Kotlin

SQL

NoSQL

Cassandra

Elasticsearch

Kafka

RabbitMQ

Docker

Kubernetes

Agile Methodologies

Ausbildung

Bachelor's Degree in Computer Science or related field

Master's Degree in Computer Science or related field

Tools

Docker

Kubernetes

Kafka

RabbitMQ

CI/CD Tools

Jobbeschreibung

Social network you want to login/join with:

We are looking for a Sr. Data Engineer to join our Backend & Data Team - an expert who develops, maintains, and manages data processing pipelines to ensure consistent and efficient data delivery for downstream consumers, such as analytics or machine learning applications.

Your playing field at Gini

• Data Pipelines and Integration: Develop, manage, and optimize data processing pipelines, integrating external data sources for enrichment and ensuring scalability, efficiency, and consistency for downstream analytics or machine learning.
• Database and System Design: Create and maintain data models, schemas, and metadata; ensure databases meet scalability, safety, and efficiency requirements; collaborate with platform engineering for maintenance.
• Backend Development: Design, implement, and maintain backend services, including architecture design, technology selection, and integration of software patterns, container technologies, and message brokers (e.g., Kafka, RabbitMQ).
• Team Collaboration: Collaborate with cross-functional teams, mentor junior developers, lead technical discussions, and contribute to team strategy and system improvements while addressing technical debt.
• Quality and Optimization: Troubleshoot, debug, and resolve backend issues; identify performance bottlenecks, security vulnerabilities, and scalability challenges; support quality improvements.
• Agile and Stakeholder Engagement: Engage in agile ceremonies, adapt to changing priorities, estimate tasks effectively, and communicate progress, risks, and challenges with stakeholders.
• Continuous Improvement: Stay updated with industry trends, emerging technologies, and best practices to improve backend systems and align with organizational goals.

Skills to be successful

• 5+ years of experience in backend development, data engineering, or a similar role, with expertise in building and maintaining scalable systems.
• Proficiency in programming languages like Java, Python, Scala, or Kotlin, as well as automation and CI/CD practices.
• Experience with diverse database technologies (e.g., SQL, NoSQL, Cassandra, Elasticsearch, Kafka) and database optimization techniques.
• Experience in designing and managing data pipelines, integrating external data sources, and ensuring data scalability and efficiency.
• Proficiency with container technologies (e.g., Docker, Podman) and orchestration platforms (e.g., Kubernetes), as well as messaging systems (e.g., RabbitMQ, Kafka).
• Strong troubleshooting and debugging skills for backend systems, addressing performance bottlenecks, and improving system scalability and security.
• Familiarity with agile methodologies, active participation in sprint planning, stand-ups, and retrospectives, while staying updated on emerging technologies and best practices.
• Flexible working options: mobile working from home or in our bright office with two spacious roof terraces, according to your needs.
• Flexible working hours to suit early birds or night owls.
• Opportunities for growth: annual budget of €2,500 net and additional days off for personal and professional development; one learning day off per month.
• Access to external coaching sessions on topics of your choice.
• Additional €50 net per month for childcare, public transport, internet, or health courses.
• Food allowance of 3€ per day at our employee restaurant.
• Participation in team events and activities to foster team cohesion.
• Mobility benefits: covered underground parking costs and the opportunity to lease a JobRad for eco-friendly commuting.
• State-of-the-art equipment with Apple products.
• Shared feedback culture emphasizing purpose and community, with reviews available on kununu and Glassdoor.

Sounds like the right challenge for you?

Founded in 2011, Gini is a well-established, award-winning FinTech company disrupting the banking, accounting, and insurance sectors. Our flagship product is our photo payment software assistant, designed to automate tedious tasks and improve quality of life. We value self-organization, autonomy, transparency, innovation, and continuous improvement, supported by flat hierarchies. Recognized with awards like the "Innovationspreis IT" in 2018, "Top Arbeitgeber 2020" by Focus, and "Finance Product of the Year 2022," we strive to be a top employer and innovator in our field.