Staff Data Engineer - Analytics Platform Job at Octopus Energy (London)

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 Data Platform Engineer

Staff Data Platform Engineer role at a high-growth, product-led software company...

Location

United States , San Francisco; New York

Salary:

310000.00 USD / Year

Orbis Consultants

Expiration Date

Until further notice

Requirements

Experience working on data platforms where data is central to the product
Strong software engineering background with a data focus
Comfortable operating at Staff level with real ownership and technical judgment
Experience with distributed systems and production data workloads
Product-minded — you care how data is used, not just how it’s stored

Job Responsibility

Designing and building software-oriented data systems (not classic BI / analytics)
Owning the platforms that ingest, refresh, and serve people and jobs data
Working on live web scraping, data freshness, and reliability at scale
Building internal data services that power product features like search and enrichment
Shaping architecture and technical direction as the platform grows

What we offer

Very strong equity with real liquidity history

Fulltime

Staff Data Platform Engineer

Staff Data Platform Engineer role at a high-growth, product-led software company...

Location

United States , San Francisco or New York

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Experience working on data platforms where data is central to the product
Strong software engineering background with a data focus
Comfortable operating at Staff level with real ownership and technical judgment
Experience with distributed systems and production data workloads
Product-minded — you care how data is used, not just how it’s stored

Job Responsibility

Designing and building software-oriented data systems (not classic BI / analytics)
Owning the platforms that ingest, refresh, and serve people and jobs data
Working on live web scraping, data freshness, and reliability at scale
Building internal data services that power product features like search and enrichment
Shaping architecture and technical direction as the platform grows

What we offer

Very strong equity with real liquidity history

Staff Data Platform Engineer

We are looking for a Principal Engineer to lead the architecture and development...

Location

United States , San Francisco; New York City

Salary:

196000.00 - 294000.00 USD / Year

Vercel

Expiration Date

Until further notice

Requirements

8+ years in data engineering or data architecture, including senior/principal-level work
Deep experience designing and operating large-scale distributed data systems
Strong expertise with Kafka and analytics/lakehouse technologies (ClickHouse, Tinybird, Snowflake, Iceberg)
Strong cloud experience (AWS, GCP, or Azure)
Experience with data governance, reliability, and secure data operations
Excellent communication skills and ability to influence across engineering and product teams
Demonstrated leadership through mentorship, design ownership, or technical direction

Job Responsibility

Architect and build a scalable data platform for batch and real-time workloads
Design streaming and event-driven systems using Kafka and related tooling
Implement modern lakehouse foundations, including Iceberg-based storage and governance
Partner with engineering, product, and leadership to define data strategy and technical direction
Establish best practices for ingestion, modeling, storage, quality, and security
Write production-grade code and set engineering standards across the team
Improve reliability through strong observability, monitoring, and fault tolerance
Drive long-term architectural decisions and evaluate build-vs-buy tradeoffs
Support analytics and ML teams by delivering high-quality data systems and tooling

What we offer

Competitive compensation package, including equity
Inclusive Healthcare Package
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
Flexible Time Off
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed

Fulltime

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

Senior Staff Software Engineer: Data & Storage Platform

Uber’s Data Platform is the heart of the company’s critical decision-making and ...

Location

United States , Seattle; San Francisco; Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

14+ Years of Engineering Excellence: Proven experience designing and operating world-class distributed data and storage systems
Mastery of Storage Internals: Extensive storage experience is a must
Deep expertise in: Batch & Object Storage: HDFS, Cloud Object Storage (S3/GCS/OCI), and Blobstore metadata management
Storage Optimization: Practical experience with Apache Hudi or Apache Iceberg for lakehouse architectures
Transactional Systems: Experience with distributed transactional storage (e.g., Docstore, Google Spanner, TiDB)
NoSQL & Cache: Cassandra, Redis, and high-throughput Key-Value stores
Data + AI Convergence: Deep understanding of how compute fabrics (Spark, Flink, Ray) integrate with vector databases and model-serving platforms
Query Engine Proficiency: Architect-level knowledge of Presto, Trino, or Hive for large-scale analytical processing
Systems Programming: Expert-level command of Java, Go, Scala, or C++ with a focus on performance tuning and distributed consensus

Job Responsibility

Architect the Multi-Modal Fabric: Unify batch, streaming, and AI compute into one intelligent fabric, enabling real-time insights and trustworthy AI agents at a global scale
Revolutionize Storage & Catalog: Drive the architecture for a unified catalog and metadata management service for unstructured data, leveraging native cloud object store capabilities
Operationalize AI Intelligence: Partner with teams like QueryCopilot and DataIQ to bridge human validation with autonomous reasoning through agentic workflows
Lead Storage Modernization: Evolve our massive-scale persistence layers—including Docstore (Transactional Distributed Storage) and Distributed MySQL—to increase resiliency and reduce operational overhead
Open Source & Act as a force multiplier by contributing to the community (Hudi, Iceberg, Presto)

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Sr. Staff Software Engineer - Advanced Analytics Platform

At DISQO, we’re redefining how companies turn data into decisions. Our mission i...

Location

United States , Los Angeles, Glendale

Salary:

200000.00 - 240000.00 USD / Year

DISQO

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience
5+ years architecting or building high-performance data systems or analytics platforms
3+ years of product Rust experience
Deep expertise in Rust and strong experience in Java
Proven track record building large-scale data analytics or OLAP systems from the ground up
Deep understanding of columnar data engines, vectorized execution, and query/dataframe optimization
Hands-on experience with performance engineering, profiling, and hardware-aware optimization
Strong expertise with AWS - designing, deploying, and optimizing large-scale data and compute systems in the cloud
A systems-thinking mindset
Thrives in a fast-moving, startup environment

Job Responsibility

Architect and deliver a high-performance Advanced Analytics Engine
Design and build an Agentic AI system that leverages this Advanced Analytics Engine
Partner with product, engineering and data teams to power agentic AI analytics systems
Profile, benchmark, and optimize Rust components
Leverage AWS cloud services to architect scalable, reliable, and cost-efficient analytics infrastructure
Shape the evolution of DISQO’s broader data platform and its integration across our product ecosystem
Mentor and guide engineers
Contribute to open-source or internal frameworks that advance analytical systems and distributed computation

What we offer

100% covered Medical/Dental/Vision for employee
Equity
401K
Generous PTO policy
Flexible workplace policy
Team offsites, social events & happy hours
Life Insurance
Health FSA
Commuter FSA (for hybrid employees)
Catered lunch and fully stocked kitchen

Fulltime

Staff Product Manager, Real Time Data Analytics Platform

We're not just building better tech. We're rewriting how data moves and what the...

Location

United States

Salary:

231500.00 - 272000.00 USD / Year

Confluent

Expiration Date

Until further notice

Requirements

8+ years of experience in product management or related technical roles
5+ years of experience taking technical infrastructure or data products from conception to launch
Deep familiarity with real-time analytics, database internals, or streaming data platform architecture
Experience defining and launching products in the data infrastructure, analytics database, or stream processing space
Strong technical judgment
Track record of leading cross-functional initiatives
Bachelor's degree or equivalent practical experience

Job Responsibility

Own the product strategy for Confluent's streaming analytics engine
Develop competitive strategy against established real-time analytical databases
Drive key architectural and product tradeoffs
Partner deeply with engineering
Collaborate with peer product managers
Work with customers and design partners
Collaborate with Confluent's broader product and platform teams
Define success metrics, cost models, and pricing strategy
Influence Confluent's company-wide platform strategy

What we offer

Remote-First Work
Robust Insurance Benefits
Flexible Time Away
The Best Teammates
Experience Ambassadors
Open and Honest Culture
Well-Being and Growth
Equity

Fulltime

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Staff Data Engineer - Analytics Platform

Job Description

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