Staff Engineer, Data Analytics Engineering Job at Sandisk (Batu Kawan, Penang)

Staff Engineer Data Engineering

You will join the Public Intelligence team, whose mission is to leverage public ...

Location

France , Paris

Salary:

Not provided

GitGuardian

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, with a strong track record building and operating large-scale, production-grade data pipelines
Strong expertise in distributed systems and real-time architectures (streaming, event-driven systems)
Strong experience with AWS, Terraform, Docker, and Kubernetes in production environments
Strong experience with ClickHouse or similar large-scale analytical databases
Hands-on engineering mindset: ability to contribute directly to production code on critical systems, not just design
Proven experience redesigning or refactoring existing production architectures
Strong ownership mindset: you proactively identify problems and drive solutions end-to-end
Experience mentoring engineers and raising the technical level of a team
Excellent communication skills and ability to work effectively with backend, ML, Data and Product teams
Fluent English in an international environment

Job Responsibility

Design and implement the end-to-end data architecture
Build real-time systems, from design through production deployment
Be hands-on on the most complex and critical technical challenges
Design monitoring, maintenance, and alerting systems around the data pipeline
Mentor and raise the technical bar within the team through code reviews and knowledge sharing
Structure engineering processes and facilitate collaboration across backend, ML, Data, and product teams
Contribute to the technical roadmap in close collaboration with the Engineering Manager and Product Manager

What we offer

Package that includes BSPCE
Lunch voucher (Swile, 9€ at 50%)
Sponsored Wellpass (gymlib)
Non-charged health insurance for children (Sidecare / Generali)
Up to €300 to improve your home office set-up
Yearly holiday allowance
Referral bonus of 4000€ for any new Guardian we might hire thanks to you
Team building: monthly budget dedicated to each employee that you can spend as you wish, with colleagues (latest examples to date: Michelin star restaurant, karaoke, stand-up show, kitesurfing week-end, ...)

Staff Data Engineer - Analytics Platform

We’re starting up a brand-new Analytics Platform team to drive the data strategy...

Location

United Kingdom , London

Salary:

Not provided

Octopus Energy

Expiration Date

Until further notice

Requirements

Deep expertise with dbt Core
Advanced SQL, Jinja and Git
Data Modelling Techniques e.g. Kimball, OBT
Experience with a cloud warehouse provider e.g. Databricks, Snowflake, BigQuery
A record of working with multiple stakeholders across domains

Job Responsibility

Build, document and consult on: Analytics for business domains using dbt & modern BI tools such as Lightdash
Strategies to model & govern a Data Mesh – improving discoverability, consistency, performance, and performance
Comprehensive testing frameworks to ensure data quality, using tools like dbt_expectations and Elementary
Robust CI/CD pipelines for testing and deployment of AE and BI models
Monitoring and alerting tools for insights on AE performance
Work hands-on with ~20 teams, guiding them to adopt tools & data modelling approaches at scale (1000s of models!)

Fulltime

Staff Software Engineer, Data Engineering

You'll own Gamma's data infrastructure and architecture as we scale to hundreds ...

Location

United States , San Francisco

Salary:

230000.00 - 310000.00 USD / Year

Gamma

Expiration Date

Until further notice

Requirements

10+ years of experience as a data engineer or software engineer working on data infrastructure with deep expertise in distributed systems
Expert-level knowledge of event streaming platforms, especially Apache Kafka (producers, consumers, Kafka Connect, stream processing)
Extensive hands-on experience with Snowflake, including performance optimization, cost management, and data modeling at massive scale
Strong understanding of relational databases (particularly Postgres) and experience with CDC patterns and replication strategies in distributed environments
Proven track record architecting and leading major data infrastructure initiatives that handled orders of magnitude growth
Experience establishing data engineering best practices and driving technical strategy across organizations
Strong communication skills and experience influencing technical direction across engineering, analytics, and leadership

Job Responsibility

Own and evolve our end-to-end event pipeline architecture, from Kafka ingestion through Snowflake analytics, setting technical direction for data infrastructure
Design and architect distributed data systems that scale to orders of magnitude more data volume while maintaining world-class query performance
Lead initiatives to build and optimize CDC (change data capture) pipelines and streaming data transformations at massive scale
Establish best practices for data quality, pipeline reliability, and system observability across the organization
Drive strategic technical decisions about data modeling, infrastructure architecture, and technology choices
Mentor engineers and elevate data engineering practices across analytics, product, and engineering teams

What we offer

competitive equity

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 Engineering

Job Description

Job Responsibility

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