Staff Analytics Engineer - dbt Job at Octopus Energy (London)

Staff Data Engineer

We are seeking a Staff Data Engineer to architect and lead our entire data infra...

Location

United States , New York; San Francisco

Salary:

170000.00 - 210000.00 USD / Year

Taskrabbit

Expiration Date

Until further notice

Requirements

7-10 years of experience in Data Engineering
Expertise in building and maintaining ELT data pipelines using modern tools such as dbt, Airflow, and Fivetran
Deep experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
Strong data modeling skills (e.g., dimensional modeling, star/snowflake schemas) to support both operational and analytical workloads
Proficient in SQL and at least one general-purpose programming language (e.g., Python, Java, or Scala)
Experience with streaming data platforms (e.g., Kafka, Kinesis, or equivalent) and real-time data processing patterns
Familiarity with infrastructure-as-code tools like Terraform and DevOps practices for managing data platform components
Hands-on experience with BI and semantic layer tools such as Looker, Mode, Tableau, or equivalent

Job Responsibility

Design, build, and maintain scalable, reliable data pipelines and infrastructure to support analytics, operations, and product use cases
Develop and evolve dbt models, semantic layers, and data marts that enable trustworthy, self-serve analytics across the business
Collaborate with non-technical stakeholders to deeply understand their business needs and translate them into well-defined metrics and analytical tools
Lead architectural decisions for our data platform, ensuring it is performant, maintainable, and aligned with future growth
Build and maintain data orchestration and transformation workflows using tools like Airflow, dbt, and Snowflake (or equivalent)
Champion data quality, documentation, and observability to ensure high trust in data across the organization
Mentor and guide other engineers and analysts, promoting best practices in both data engineering and analytics engineering disciplines

What we offer

Employer-paid health insurance
401k match with immediate vesting
Generous and flexible time off with 2 company-wide closure weeks
Taskrabbit product stipends
Wellness + productivity + education stipends
IKEA discounts
Reproductive health support

Fulltime

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

New

Staff AI Data Engineer

We are looking for a Senior Data Engineer AI to join the AI team at Doctolib. As...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

At least 7 years+ of experience as an Analytics Engineer, Data Engineer, or a similar role
Proficient in Python, SQL, and DBT for building data pipelines
Hands-on experience building data pipelines for AI/ML systems in production
Good understanding of ML model lifecycle (training, evaluation, deployment, monitoring)
First experience with Google Cloud Platform (GCP) stack
Strong collaboration skills and can work effectively with data science and engineering teams

Job Responsibility

Design and implement data capture and ingestion systems ensuring data quality, privacy compliance (anonymization, consent, retention), and GDPR adherence
Build, optimize and maintain end to end data pipelines using Python, Dagster, BigQuery, SQL/Jinja, DBT
Enable AI model development by providing datasets for training, evaluation, and annotation workflows
Develop custom monitoring solutions including online metrics pipelines and dashboards (Amplitude, Metabase, Tableau) to track AI system performance
Collaborate with the Data Platform teams to optimize infrastructure, ensure scalability, and manage costs effectively

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: additional leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of a sport club membership or a creative class
Up to 14 days of RTT
Lunch voucher with Swile card

Fulltime

New

Staff Data Engineer

The GoFundMe team is searching for our next Staff Data Engineer to join our Anal...

Location

Argentina , Buenos Aires

Salary:

Not provided

GoFundMe

Expiration Date

Until further notice

Requirements

8+ years as a data engineer crafting, developing and maintaining business data warehouse alternatives consisting of structured and unstructured data
Proficiency with building and orchestrating data pipelines using ETL/data preparation tools
Strong SQL and python skills
Experience with data observability, automated testing, and monitoring frameworks
Comfortable with Snowflake performance tuning and managing large datasets
Collaborative and proactive — you like helping teams move faster and more reliably
Fluent in English (written and spoken)
Familiarity with BI tools (Looker, Hex, Mode, Tableau) and semantic layers
DBT experience

Job Responsibility

Own and improve our normalized data layer, ensuring consistency, scalability, and high performance
Build automated tests and monitoring to catch issues before they reach production
Work closely with Analytics Engineers and Data Engineers to ensure data pipelines and models produce accurate, consistent, and well-structured data, coordinating on model design, testing, and quality checks to support reliable reporting and analytics
Contribute to Snowflake performance and cost optimization, helping ensure queries are fast and efficient
Explore ways to use AI to help the team design models, generate code suggestions, review changes, and detect anomalies
Maintain clear documentation and standards so everyone on the team can move fast with confidence

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program

New

Staff Engineer - Data

The Staff Engineer provides technical leadership across the Value Stream and Cap...

Location

Salary:

Not provided

Admiral Group Plc

Expiration Date

Until further notice

Requirements

Proven experience in a Senior or Staff Engineer role, ideally within data teams
Strong background in CI/CD practices, automated testing, and optimised deployment strategies
In-depth knowledge of testing frameworks and strategies across unit, integration, E2E, and non-functional domains
Experience with containerisation and infrastructure tools such as Docker, Kubernetes and Terraform
Expert level in languages like Python or Java, often using them to build complex data processing workflows and applications
Proficient in one or more major cloud platforms preferably Google Cloud Platform (GCP) or Microsoft Azure
A deep understanding of both relational databases (SQL) and NoSQL databases
Expert in data modelling, schema design, and optimizing database performance
Know how to design and manage data warehouses for efficient analytics
Design, build, and maintain complex Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines

Job Responsibility

Provide technical leadership and guidance to engineers across the Value Stream
Mentor engineers within your area of expertise to support their technical growth
Support the Principal Engineer and senior leadership team with technical risk management, strategy, and decision-making
Help shape epics and technical deliverables in alignment with roadmap goals
Own technical dependencies and contribute to planning cycles including Quarterly Alignment, Monthly Value Stream Planning, and Sprint Planning
Contribute to the detailed design, engineering quality, and technical oversight of solutions delivered within the Value Stream
Ensure all technical solutions follow architecture governance and align with Admiral’s engineering strategy
Drive improvements to CI/CD pipelines, automation, testing practices, and secure delivery
Lead on resolving technical constraints, blockers, and integration challenges
Identify and address technical debt, ensuring sustainability and maintainability

What we offer

Everyone receives 33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
Option to buy or sell up to an additional five days of annual leave
Eligible for up to £3,600 of free shares each year after one year of service
Financial & Mortgage Advice
24-Hour Ecare
Cycle to Work Scheme
Annual Holiday Allowance
Flexible Working
Simply Health
Private Health Cover

Fulltime

Head of Data

As Head of Data, you will own our end-to-end data function: analytics, data engi...

Location

United States

Salary:

239300.00 - 280000.00 USD / Year

Octave

Expiration Date

Until further notice

Requirements

8+ years of experience in data analytics/data science
4+ years in a leadership role scaling teams and delivering cross-functional impact
Expertise with analytics reporting and data platforms Tableau, SQL, Adverity
Fluency in SQL and Python
experience with modern data stacks (e.g. BigQuery, dbt, Metabase, Mixpanel)
Proven leadership experience overseeing multi-disciplinary data teams (engineering, analytics, science)
Track record of hiring and scaling teams at high-growth startups or scale-ups
Experience shipping ML/AI solutions into production with measurable business impact
Strong technical background: modern data stacks (dbt, Snowflake, Airflow), programming (Python, SQL), ML/AI frameworks
Strategic thinker who can roll up sleeves when needed

Job Responsibility

Define and drive the company-wide data & AI/ML vision, aligned with business and product strategy
Partner with executives across Product, Engineering, Growth, and Finance to ensure data informs key decisions and creates competitive advantage
Evangelize data culture — making data and AI central to how we operate and build
Oversee pipelines, warehouse, and infrastructure for reliability, observability, and scale
Establish a single source of truth for KPIs and reporting
Implement governance for data quality, security, and compliance
Lead analytics team to deliver insights that drive product, growth, and operations
Scale self-serve analytics adoption while maintaining consistency and quality
Build frameworks for experimentation (A/B testing, causal inference)
Launch and scale high-impact AI/ML initiatives, from pilots to production

What we offer

company sponsored life insurance
disability and AD&D plans
Voluntary benefits such as 401k retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options
Octave offers generous Paid Time Off as well as paid parental leave benefits
equity in the form of stock options
an annual bonus

Fulltime

Staff Solutions Architect

We're seeking a Majors Solutions Architect to join our North East Solutions Arch...

Location

United States , New York City

Salary:

190000.00 - 280000.00 USD / Year

dbt Labs

Expiration Date

Until further notice

Requirements

6+ years of sales engineering, solutions architecture, or consulting in data operations, analytics, or BI
Proven hands-on experience with SQL, ETL, and data modeling
Strong understanding of modern data stacks and cloud data warehousing
Effective communicator—able to explain technical concepts to diverse audiences
Ability to gather and translate technical and business requirements into concrete solutions
Excellent written, and in-person communication skills to discuss complex topics with both technical and non-technical audiences
Adaptable in fast-paced environments with shifting priorities
A passion for being an inclusive teammate and involved member of the community

Job Responsibility

Design modern, enterprise-scale data architectures using dbt Cloud
Partner with Sales to demonstrate the technical value of dbt Labs solutions
Lead proof-of-concept engagements and technical evaluations for prospective customers
Work with engineering to deploy dbt Cloud in private clouds for enterprise clients
Manage the full customer lifecycle, from pre-sales through onboarding and adoption
Collaborate with Product and Engineering to influence the enterprise roadmap
Enable strategic partners (e.g., Snowflake, Databricks, AWS) in their implementation of dbt
Engage in the dbt Community and contribute to thought leadership

What we offer

Unlimited vacation time with a culture that actively encourages time off
401k plan with 3% guaranteed company contribution
Comprehensive healthcare coverage
Generous paid parental leave
Flexible stipends for: Health & Wellness
Home Office Setup
Cell Phone & Internet
Learning & Development
Office Space

Fulltime

New

Staff Data Engineer

The Staff Data Engineer role is part of the Bamboo Health Engineering Team. You ...

Location

United States

Salary:

Not provided

Bamboo Health

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Analytics, a related field, or equivalent experience
8+ years total software and relational database development experience
3+ years with a strong demonstrated ability to develop and maintain ETL solutions, ideally using Python and various Application Programming Interfaces (API)
3+ years’ experience with AWS Cloud Solutions/Services
Experience working in an Agile environment include using ticketing software such as JIRA
Strong technical problem-solving abilities
Hands on experience maintaining databases on Redshift, PostgreSQL, MySQL or Oracle relational database systems.
Experience with software development using Python, Ruby, or other modern scripting languages, ideally in container solutions such as Docker or Kubernetes.
Proficiency with modern data stack tools such as dbt, Starburst, AWS Glue.
Healthcare experience is a plus, but not mandatory.

Job Responsibility

Develop, debug and support ETL processes utilizing AWS services
Lead ideation and development of data models used for data science and analytics
Meet the delivery expectations of the Agile Project Management methodology
Maintain and optimize reports and extracts that serve as lifesaving information sources to customers
Create clear and concise documentation regarding technical solutions, while sharing knowledge and documentation with teammates via “Lunch and Learns”
Collaborate with internal and external customers to deliver modern data products
Explore opportunities to enhance workflows through AI or automation tools (e.g., document summarization, task routing, or data parsing).
Identify repetitive tasks and partner with team leads to implement scalable automation solutions.

What we offer

Receive competitive compensation, including health, dental, vision and other benefits

Fulltime

Staff Analytics Engineer - dbt

Octopus Energy

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 28, 2025

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