Staff Engineer, Data & Analytics Job at Staffbase (Berlin)

New

Staff Engineer, Data & Analytics

As a Staff Engineer in our Data & Analytics team, you will drive the technical d...

Location

Germany , Chemnitz

Salary:

Not provided

Staffbase

Expiration Date

Until further notice

Requirements

Proven experience at Staff Engineer level or equivalent in a data engineering context
Strong architectural understanding of data platforms: data lakes, data foundations, data governance, and orchestration
Experience with streaming technologies (e.g. Kafka) – hands-on exposure is a strong plus
Solid data modeling skills and the ability to raise this as a team-wide standard
Experience working with large-scale datasets commensurate with a sizeable B2B SaaS customer base
Python proficiency and comfortable working across a modern data stack
Strong stakeholder management and communication skills – you are comfortable pushing back, negotiating roadmaps, and finding constructive compromises with product teams
A product-minded engineering mindset: able to balance technical rigour with pragmatic prioritization
Leadership experience or ambition: you are comfortable guiding engineers and driving delivery

Job Responsibility

Drive the technical direction of our data platform – leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholders
Support and develop a team of 4–5 engineers: providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture
Own and evolve the data infrastructure: data lake, data foundations, semantic layer, and data governance – building a solid base for AI and analytics features
Lead streaming adoption across the team, bringing hands-on expertise to an area the team is actively developing
Apply and advance strong data modeling practices across the platform
Prioritize and mediate effectively with product stakeholders – advocating for the right technical decisions and sequencing of work
Contribute to the evolution of our self-service data platform approach, driving the cultural and technical shift toward distributed data ownership
Collaborate across the broader staff engineering community on cross-cutting architectural decisions

What we offer

Attractive salary packages including LTIP (unit-based Long Term Incentive Plan)
Flexible working time models and the option of hybrid work, supported with a yearly flex work allowance of €1560
31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
Company pension scheme
One day off per year for supporting a social project (Volunteers Day)

Fulltime

New

Staff, Analytics Engineer, GTM Data Science & Analytics

This position is needed to advance the quality, reliability, and strategic value...

Location

United States

Salary:

Not provided

Stytch

Expiration Date

Until further notice

Requirements

Minimum 8 years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline, with a preference for direct experience supporting GTM or sales analytics in a SaaS environment
Advanced expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using dbt
Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment
Proven track record of implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability
Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences

Job Responsibility

Design and implement a formal business data layer in dbt, ensuring that data from multiple sources is centralized, reconciled, and serves as a single source of truth for GTM metrics
Collaborate with stakeholders within the GTM Operations team and Finance to define, document, and maintain alignment on key business metrics and data definitions
Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards
Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review
Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences

What we offer

competitive pay
generous time off
ample parental and wellness leave
healthcare
retirement savings program
equity plan
corporate bonus plan
paid sick time
paid personal time off
paid parental leave

Staff Engineer, Data Analytics Engineering

We are seeking a highly motivated and detail-oriented individual to join our tea...

Location

Malaysia , Batu Kawan, Penang

Salary:

Not provided

Sandisk

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Data Science Engineering, Computer Science, Information Systems, or related field
advanced degree preferred
Minimum 5 years of experience in business intelligence related work
Experience with data analytics and visualization tools (e.g., Power BI, Tableau)
Proficiency in SQL and data modeling concepts
Strong business requirement gathering and stakeholder management skills
Excellent problem-solving and communication skills

Job Responsibility

Design and deliver automation solutions to eliminate repetitive manual tasks, including automated reporting and data visualization
Develop analytical tools and dashboards that provide actionable insights for business and operations teams
Design, develop, and maintain robust, end-to-end digital platforms to support business needs
Establish and maintain data pipelines to enable downstream analytics and reporting
Consolidate and validate business requirements, ensuring alignment across operations, IT, and business strategy
Work with cross-functional stakeholders (IT, operations, and business teams) throughout project planning and execution
Support implementation and testing activities, including requirements gathering, user documentation, and end-user training

Fulltime

Staff Analytics Engineer - Foundational Data

Our mission in the Foundational Data team is to build and maintain high quality ...

Location

United States

Salary:

194000.00 - 240000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years of experience with a BS/Masters or 6+ years with a PhD
Fluent in SQL and proficient in at least one data engineering language, such as Python or Scala
Expertise using business intelligence and reporting tools like Superset and Tableau
Expertise in large-scale distributed data processing frameworks like Presto or Spark
Expertise in data modeling for data warehouses and/or metrics repositories
Experience with an ETL framework like Airflow
Clear and mature communication skills: ability to distill complex ideas for technical and non-technical stakeholders
Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of analytic engineering strategies
Experience exploring and leveraging LLM AI’s in every-day tasks (coding, documentation, etc…)
Strong capability to forge trusted partnerships across working teams

Job Responsibility

Develop high quality data assets to satisfy a wide range of use-cases
Develop frameworks and tools to scale insight generation to meet critical business and infrastructure requirements
Collaborate and build strong partnerships with other data practitioners throughout Airbnb
Influence the trajectory of data in decision making
Improve trust in our data by championing for data quality across the stack
Influence event logging instrumentation best practices and participate in architecture designs

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Staff Data Engineer- Data Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of hands-on experience in Software Development or Data Engineering
at least 5+ years specifically focused on building Data Platforms
deep understanding of how Platform infra supports Analytics workloads
proven experience evolving complex platforms from legacy patterns to modern, cloud-native solutions
deep knowledge of Spark internals, JVM tuning, and performance optimization for high-scale batch and streaming datasets
deep expertise in Unity Catalog, Delta Lake internals, and optimizing high-volume workloads
strict software engineering discipline (CI/CD, Testing, OOP) applied to data pipelines
understanding of microservices architecture
understanding the needs of Analytics/DWH teams (Data Modeling, dbt)
strong background in building automated pipelines using Terraform/Terragrunt and ensuring system observability

Job Responsibility

Lead the evolution of our Data Platform and architect the "Data Exchange" strategy
define robust patterns for API-based ingestion, Event-Driven Architectures (Kafka), and Reverse ETL
ensure architectures are optimized for cost and performance on AWS
act as a catalyst for technical evolution
constantly scan the horizon for next-generation technologies
lead the implementation of new paradigms
design the strategy for Unity Catalog implementation and Data Contracts
champion FinOps, automating cost controls for our highest-volume workloads
build the underlying infrastructure that allows Analytics/DWH teams to run efficient transformations
elevate the technical bar of the team, mentoring Staff and Senior engineers

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
a collaborative environment with an opportunity to explore your potential and grow
a range of locally relevant benefits

Fulltime

Staff Engineer - Finance Data Engineer

GEICO is seeking Finance Data specialists to support the build out of a Finance ...

Location

United States , Palo Alto

Salary:

110000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

15+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting Oracle
Workday
SAP or PeopleSoft)
3+ years of experience in implementing and supporting FP&A applications (Preferred)
3+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools
Good understanding of Dimensional Data Modeling
Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc.
Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs
Experience working with Financials via the major vendors (e.g. PeopleSoft
Oracle EBS

Job Responsibility

Leverage your strong Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO’s current and future needs
Engage in cross-functional collaboration throughout the entire software lifecycle
Support design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations
Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met
Have a deep understanding of a few Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse
Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc.
Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects
Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent)
Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions
Support and try to influence customers and stakeholders, and work through divergent expectations

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Staff Engineer – Cybersecurity Data Protection Engineer

GEICO’s Cybersecurity organization has an exciting opportunity for an accomplish...

Location

United States , Chevy Chase; Palo Alto; Seattle

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Proven experience with data discovery, classification, handling, access, inventory, and retention
Proven experience with data protection technologies, such as encryption, tokenization and data loss prevention tools
Familiar with programming languages such as Python, Java, or .NET
Experience with designing and implementing data security solutions for enterprise environments
Experience in managing and supervising other Data Protection Engineers
Experience in developing and managing data protection programs focused on data discovery, data inventory, data risk assessments, and encryption for both structured and unstructured data
Strong knowledge of cybersecurity laws, regulations, and best practices
Knowledge of data security frameworks, standards, and protocols
Strong understanding of data privacy laws and regulations (i.e. NYDFS, PCI, etc.)
Strong analytical and problem-solving skills

Job Responsibility

Develop and Implement data protection strategies and initiatives, including classification and handling, data access controls, inventory, encryption, and retention
Work closely with other stakeholders to enforce data protection related policy and respond to regulatory requirements
Develop and maintain data security policies, procedures, standards, and ensure that they are followed by the entire organization
Create and maintain data inventories and data flows, and manage data sharing controls
Drive the design and implementation of data access controls, ensuring only authorized access to sensitive data
CO-develop and implement data retention policy and procedures, ensure compliance with internal policy and external regulations
Enforce data encryption standards and strategies to secure data at rest and in transit
Lead incident response efforts related to data breach and work with stakeholders to mitigate impact
Lead and conduct regular data risk assessments to identify potential vulnerabilities and threats to the organization's data and information systems
Stay abreast of new developments in the field of cybersecurity and ensure that the organization's risk assessment and data security processes are aligned with industry standards and best practices

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Member of Technical Staff (Analytics Engineer)

Perplexity is AI for people who expect more. This role brings that same standard...

Location

United States , San Francisco

Salary:

175000.00 - 330000.00 USD / Year

Perplexity

Expiration Date

Until further notice

Requirements

6-8+ years in data science, analytics engineering, or a related role
Strong product sense
Deep SQL expertise
Pipeline experience
Enough software engineering chops to be dangerous
Genuinely excited about AI
Builder mentality
Autonomy

Job Responsibility

Accelerate the AI-native data workflow
Build AI agents that do data science
Make the warehouse AI-readable
Automate the data lifecycle
Ship AI-powered experiment analysis
Own the full lifecycle
Turn the data team into a product team

What we offer

Equity
Health
Dental
Vision
Retirement
Fitness
Commuter and dependent care accounts
More

Fulltime

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Staff Engineer, Data & Analytics

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