Staff Data Engineer - Governance

blip-global; Deutschland; Hybrid; EUR 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Flexible Hours

Remote/hybrid/on-site options

No Dress Code

Home Office Setup Allowance

Birthday Day Off

Blip Recharge: 5 paid days off

Zusammenfassung

Blip is seeking a Sr. Staff Data/Platform Engineer to scale and evolve our data platform, becoming the technical backbone for the Data and Platform Engineering team. You’ll own platform decisions, mentor engineers, and design low-latency, high-throughput systems powering analytics, ML, and real-time business logic.

You will work with product, infrastructure, and AI teams to shape Blip's data foundation for years to come, driving architecture choices and platform adoption across the organization.

Qualifikationen

• 8+ years in Data Engineering, Platform Engineering, or Software Engineering roles.
• Demonstrated expertise building and scaling distributed systems and data platforms.
• Deep hands-on experience with Apache Kafka, Apache Flink, Apache Spark, Delta Lake, or similar technologies.
• Strong knowledge of streaming architectures, real-time data processing, and event-driven systems.

Aufgaben

• Design, implement, and optimize distributed data systems using technologies like Kafka, Flink, Spark, and Delta Lake, ensuring scalability, fault tolerance, and high performance across streaming and batch workloads.
• Build and maintain low-latency, high-throughput pipelines capable of handling billions of events per day, powering real-time dashboards, ML feature stores, and intelligent products.
• Translate business requirements into robust, scalable architectural patterns, integrating best practices across data modeling, orchestration, data governance, and observability.
• Write high-quality, maintainable code and establish patterns that raise the engineering bar. Collaborate in code reviews and mentor other engineers in software craftsmanship.
• Help bridge traditional machine learning workloads with modern AI-based decision systems. Support the evolution of our ML pipelines into agent-based or model-context protocol (MCP)-enabled workflows.
• Work cross-functionally with Product, AI, and Software Engineering teams to drive platform adoption and unlock new capabilities.

Kenntnisse

Distributed Systems

Kafka

Flink

Spark

Delta Lake

Scala/Java/Python

Tools

Kafka

Flink

Spark

Delta Lake

Jobbeschreibung

About the Role

At Blip, data is more than a byproduct, it's a strategic asset. Our Data Platform powers everything from internal decision-making to the next generation of AI-driven experiences. We're now looking for a Sr. Staff Data/Platform Engineer to play a foundational role in scaling and evolving this platform. This role is ideal for someone who is passionate about solving deep engineering challenges, working across large-scale distributed systems, and translating real-time data into meaningful intelligence across the company.

Your Mission

You’ll be the technical backbone of our Data and Platform Engineering team, owning critical platform decisions, mentoring engineers, and designing future-proof, low-latency, high-throughput systems that power analytics, machine learning, and real-time business logic. As a senior individual contributor, you’ll work side-by-side with product, infrastructure, and AI teams, helping shape Blip's data foundation for years to come.

Key Responsibilities

• Platform Engineering & Distributed Systems Design, implement, and optimize distributed data systems using technologies like Kafka, Flink, Spark, and Delta Lake, ensuring scalability, fault tolerance, and high performance across streaming and batch workloads.
• Streaming & Real-time Data Pipelines Build and maintain low-latency, high-throughput pipelines capable of handling billions of events per day, powering real-time dashboards, ML feature stores, and intelligent products.
• Data Architecture & Systems Design Translate business requirements into robust, scalable architectural patterns, integrating best practices across data modeling, orchestration, data governance, and observability.
• Engineering Excellence & Code Quality Write high-quality, maintainable code and establish patterns that raise the engineering bar. Collaborate in code reviews and mentor other engineers in software craftsmanship.
• AI Infrastructure & Decision Systems Help bridge traditional machine learning workloads with modern AI-based decision systems. Support the evolution of our ML pipelines into agent-based or model-context protocol (MCP)-enabled workflows.
• Collaboration & Leadership Work cross-functionally with Product, AI, and Software Engineering teams to drive platform adoption and unlock new capabilities. Act as a technical leader and sounding board on system evolution and architecture choices.

What We're Looking For

Experience

• 8+ years in Data Engineering, Platform Engineering, or Software Engineering roles.
• Demonstrated expertise building and scaling distributed systems and data platforms.
• Deep hands-on experience with Apache Kafka, Apache Flink, Apache Spark, Delta Lake, or similar technologies.
• Strong knowledge of streaming architectures, real-time data processing, and event-driven systems.

Technical Foundations

• Solid foundation in software engineering: design patterns, testing, CI/CD, versioning, clean code.
• Proficiency in modern languages such as Scala, Java, or Python.
• Expertise in SQL, data modeling, and performance tuning for analytical and transactional workloads.

Bonus Points

• Experience implementing or working with Model Context Protocol (MCP) or modern AI infrastructure paradigms.
• Familiarity with ML Ops, feature stores, and model deployment frameworks.
• Knowledge of data governance principles, observability stacks, and RBAC/RLS at scale.

Perks and Benefits

Your Day-to-Day Experience

• Flexible Hours: Enjoy autonomy to organize your routine with balance and responsibility.
• Flexible Work Models: Remote, hybrid, or on-site - depending on the role's needs.
• No Dress Code: Be yourself, without formalities.
• Home Office and Blip Setup Allowance: Financial support to create or upgrade your remote workspace.
• Birthday Day Off: Take a day off during your birthday month to celebrate your way.
• Blip Recharge: Five paid days off per year for employees not required to clock in, designed to promote balance and rest.

Well-being and Quality of Life

• Meal or Food Allowance: BRL 1,144.00 per month, fully covered (no deductions) and credited even during vacations or leave.
• Transportation Voucher: Available according to commuting needs.
• Wellhub (Gympass): Access to gyms, wellness apps, and physical activities - also extended to dependents.
• SESC Partnership: Access to culture, leisure, sports, hotels, vacation programs, and more.

Physical and Emotional Health

• Health Plan (Amil): Nationwide coverage with private hospital rooms for you and your dependents, with co-participation only.
• Dental Plan: Nationwide coverage for you and your dependents, with three plan options and full coverage of the selected plan cost.
• Conexa Saúde: Online psychological care platform.
• Life Insurance: Coverage equivalent to 24 times your monthly salary.

Family, Parenthood, and Support

• Extended Maternity Leave: 180 days to embrace this new chapter with peace of mind.
• Extended Paternity Leave: 30 days to be present and strengthen family bonds.
• Childcare Allowance: Reimbursement of BRL 676.81 for children up to 2 years old and BRL 592.21 for children up to 5 years old.
• Allowance for Dependents with Disabilities: BRL 846.02 support for children with disabilities or neurodiversity.

Development and Recognition

• Educational Support: Partnerships with universities and language schools.
• Short-Term Incentive Program (ICP): Financial recognition tied to Blip's performance goals.

Diversity and Inclusion

• Your Name Matters: Reimbursement of up to BRL 250.00 for expenses related to name and/or gender marker changes, reinforcing inclusion and respect for identity.

Why Join Us

You’ll join a company with global ambitions and a highly motivated Data team, working to reshape how businesses interact with customers through conversational AI and intelligent platforms. Here, you won’t just build systems, you’ll help shape the foundation of what’s next.