Staff Data Engineer Job at Bazaarvoice (Belfast)

Staff Data Engineer

As a Staff Data Engineer, you will be leading the architecture, design and devel...

Location

United States; Canada , Remote

Salary:

Not provided

1Password

Expiration Date

Until further notice

Requirements

Minimum of 8+ years of professional software engineering experience
Minimum of 7 years technical engineering experience building data processing applications (batch and streaming) with coding in languages
In-depth, hands-on experience on extensible data modeling, query optimizations and work in Java, Scala, Python, and related technologies
Experience in data modeling across external facing product insights and business processes, such as revenue/sales operations, finance, and marketing
Experience with Big Data query engines such as Hive, Presto, Trino, Spark
Experience with data stores such as Redshift, MySQL, Postgres, Snowflake, etc.
Experience using Realtime technologies like Apache Kafka, Kinesis, Flink, etc.
Experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP with extensive use of datastores like RDBMS, key-value stores, etc.
Experience leveraging distributed systems at scale and systems knowledge on infrastructure hardware, resources bare-metal hosts to containers to networking.

Job Responsibility

Design, develop, and automate large-scale, high-performance batch and streaming data processing systems to drive business growth and enhance product experience
Build data engineering strategy that supports a rapidly growing tech company and aligns with the priorities across our product strategy and internal business organizations’ desire to leverage data for more competitive advantages
Build scalable data pipelines using best-in-class software engineering practices
Develop optimal data models for storage and retrieval, meeting critical product and business requirements
Establish and execute short and long-term architectural roadmaps in collaboration with Analytics, Data Platform, Business Systems, Engineering, Privacy and Security
Lead efforts on continuous improvement to the efficiency and flexibility of the data, platform, and services
Mentor Analytics & Data Engineers on best practices, standards and forward-looking approaches on building robust, extensible and reusable data solutions
Influence and evangelize high standard of code quality, system reliability, and performance.

What we offer

Maternity and parental leave top-up programs
Generous PTO policy
Four company-wide wellness days
Company equity for all full-time employees
Retirement matching program
Free 1Password account
Paid volunteer days
Employee-led inclusion and belonging programs and ERGs
Peer-to-peer recognition through Bonusly

Fulltime

Staff Data Engineer

Checkr is hiring an experienced Staff Data Engineer to join their Data Platform ...

Location

United States , San Francisco; Denver

Salary:

166000.00 - 230000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

10+ years of designing, implementing and delivering highly scalable and performant data platform
experience building large-scale (100s of Terabytes and Petabytes) data processing pipelines - batch and stream
experience with ETL/ELT, stream and batch processing of data at scale
expert level proficiency in PySpark, Python, and SQL
expertise in data modeling, relational databases, NoSQL (such as MongoDB) data stores
experience with big data technologies such as Kafka, Spark, Iceberg, Datalake, and AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.)
an understanding of Graph and Vector data stores (preferred)
knowledge of security best practices and data privacy concerns
strong problem-solving skills and attention to detail
experience/knowledge of data processing platforms such as Databricks or Snowflake.

Job Responsibility

Architect, design, lead and build end-to-end performant, reliable, scalable data platform
monitor, investigate, triage, and resolve production issues as they arise for services owned by the team
mentor, guide and work with junior engineers to deliver complex and next-generation features
partner with engineering, product, design, and other stakeholders in designing and architecting new features
create and maintain data pipelines and foundational datasets to support product/business needs
experiment with rapid MVPs and encourage validation of customer needs
design and build database architectures with massive and complex data
develop audits for data quality at scale
create scalable dashboards and reports to support business objectives and enable data-driven decision-making
troubleshoot and resolve complex issues in production environments.

What we offer

A fast-paced and collaborative environment
learning and development allowance
competitive cash and equity compensation and opportunity for advancement
100% medical, dental, and vision coverage
up to $25K reimbursement for fertility, adoption, and parental planning services
flexible PTO policy
monthly wellness stipend
home office stipend
in-office perks such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages.

Fulltime

Staff Data Engineer

We are looking for a Staff Data Engineer to take ownership of Blinq’s data engin...

Location

Australia , Sydney; Melbourne

Salary:

Not provided

Blinq Technologies

Expiration Date

Until further notice

Requirements

Extensive experience with SQL, data modeling tools like Dataform, and programming languages such as Python or R and data system architecture designs
Hands-on expertise with a modern event data stack and familiarity with tools such as Segment, Amplitude, BigQuery, Looker Studio, Google Analytics, SSGTM, CDP and AWS/GCP
A strong vision for building a scalable, reliable, and cutting-edge analytics platform, with the ability to develop a roadmap to achieve this
A solid grounding in mathematics, statistics, and data visualisation
Experience in MarTech and working with data systems that support machine learning workflows is desirable
High proficiency in A/B testing and event system design is also highly desirable

Job Responsibility

Building and optimising data pipelines which are scalable to support the collection, transformation, and loading (ETL) of data into databases, warehouses or lakes
Ensuring data quality and accuracy by implementing robust validation and observability processes
Collaborating closely with Product, Marketing, Sales and Engineering teams to align data systems with business goals and measure success effectively
Driving cross-functional efforts to address data integrity, reporting, and insights, while remediating inconsistencies and gaps
Documenting data processes, architecture, and workflows to ensure clarity and continuity across teams

What we offer

Equity & ownership
Competitive salary & growth path
Generous paid time off: At least 20 days fully disconnect each year, with a flexible policy beyond that
Parental leave that grows with you: 12 to 26 weeks full pay, based on tenure
Free food: Enjoy daily breakfast and lunch at some of our offices, plus an always-stocked snack bar

Fulltime

Staff Data Engineer

We’re looking for a Staff Data Engineer to own the design, scalability, and reli...

Location

United States , San Jose

Salary:

150000.00 - 250000.00 USD / Year

Figure

Expiration Date

Until further notice

Requirements

Experience owning or architecting large-scale data platforms — ideally in EV, autonomous driving, or robotics fleet environments, where telemetry, sensor data, and system metrics are core to product decisions
Deep expertise in data engineering and architecture (data modeling, ETL orchestration, schema design, transformation frameworks)
Strong foundation in Python, SQL, and modern data stacks (dbt, Airflow, Kafka, Spark, BigQuery, ClickHouse, or Snowflake)
Experience building data quality, validation, and observability systems to detect regressions, schema drift, and missing data
Excellent communication skills — able to understand technical needs from domain experts (controls, perception, operations) and translate complex data patterns into clear, actionable insights for engineers and leadership
First-principles understanding of electrical and mechanical systems, including motors, actuators, encoders, and control loops

Job Responsibility

Architect and evolve Figure’s end-to-end platform data pipeline — from robot telemetry ingestion to warehouse transformation and visualization
Improve and maintain existing ETL/ELT pipelines for scalability, reliability, and observability
Detect and mitigate data regressions, schema drift, and missing data via validation and anomaly-detection frameworks
Identify and close gaps in data coverage, ensuring high-fidelity metrics coverage across releases and subsystems
Define the tech stack and architecture for the next generation of our data warehouse, transformation framework, and monitoring layer
Collaborate with robotics domain experts (controls, perception, Guardian, fall-prevention) to turn raw telemetry into structured metrics that drive engineering/business decisions
Partner with fleet management, operators, and leadership to design and communicate fleet-level KPIs, trends, and regressions in clear, actionable ways
Enable self-service access to clean, documented datasets for engineers
Develop tools and interfaces that make fleet data accessible and explorable for engineers without deep data backgrounds

Fulltime

Staff Data Engineer

A VC-backed retail AI scale-up is expanding its engineering team and is looking ...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years in software development and data engineering with ownership of production-grade systems
Proven expertise in Spark (Databricks, EMR, or similar) and scaling it in production
Strong knowledge of distributed computing and modern data modeling approaches
Solid programming skills in Python, with an emphasis on clean, maintainable code
Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
Excellent communicator who can influence and partner across teams

Job Responsibility

Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives

What we offer

Fully remote
great equity

Staff Data Engineer

A VC-backed retail AI scale-up is expanding its engineering team and is looking ...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years in software development and data engineering with ownership of production-grade systems
Proven expertise in Spark (Databricks, EMR, or similar) and scaling it in production
Strong knowledge of distributed computing and modern data modeling approaches
Solid programming skills in Python, with an emphasis on clean, maintainable code
Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
Excellent communicator who can influence and partner across teams

Job Responsibility

Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives

What we offer

Fully remote
great equity

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

Software Engineer Staff - Data Scientist

Designs, develops, troubleshoots and debugs software programs for software enhan...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
Proficiency in Python, R, SQL, or other programming languages for data analysis
Experience with data wrangling, manipulation, and visualization tools and libraries such as pandas, numpy, scikit-learn, matplotlib, seaborn, etc.
Knowledge of machine learning concepts and techniques such as supervised and unsupervised learning, regression, classification, clustering, dimensionality reduction, etc.
Familiarity with cloud computing platforms and services such as AWS, Azure, or Google Cloud
Strong analytical and problem-solving skills

Job Responsibility

Collect, clean, and transform data from various sources and formats for model training
Perform exploratory data analysis and visualization to understand patterns and trends
Build, test, and deploy predictive models and algorithms using appropriate tools and frameworks to a production cloud environment
Communicate findings and recommendations to stakeholders and clients using clear and compelling reports and presentations
Collaborate with other data scientists, engineers, and domain experts on cross-functional projects

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Programs for personal and professional development
Inclusive environment that celebrates individual uniqueness

Fulltime

Staff Data Engineer

Bazaarvoice

Location:
United Kingdom , Belfast

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 17, 2026

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Job Description:

Job Responsibility:

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Additional Information:

Job Posted:February 17, 2026

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