Referso Jobs

WB Games Data Engineering Co-op: Needham, MA - January-May 2027

Warner Bros. Discovery · Posted Nov 9, 2026

Open

Needham, Massachusetts, United States
On-site
Internship · Intern
$31 per hour

WB Games Data Engineering Co-op: Needham, MA - January-May 2027

Warner Bros. Discovery · Posted Nov 9, 2026

Open

Needham, Massachusetts, United States
On-site
Internship · Intern
$31 per hour

IT specialista pro koordinaci datové architektury a governance (m/ž)

Volkswagen AG · Posted Nov 9, 2026

Open

Mladá Boleslav, Central Bohemia, Czech Republic
Hybrid
8+ years

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Koordinovat činnost datových architektů napříč jednotlivými doménami a řídit technologické portfolio v oblasti datových platforem a nástrojů.

Compensation

Každý rok na vás čeká 13. mzda, jako poděkování za vaši dobrou práci. Vyplácíme každoroční bonusy na základě hospodářských výsledků společnosti. Přispějeme vám na doplňkové penzijní spoření částkou 2000,- měsíčně.

Responsibilities

Koordinovat činnost datových architektů napříč jednotlivými doménami
Stanovovat strategii architektury Enterprise Data Managementu
Koordinovat analýzu, vývoj a implementaci Enterprise Data Management architektury napříč všemi doménami
Koordinovat tvorbu a využívání logických datových modelů business domén
Koordinovat vyhodnocování využití nových IT technologií a řídit technologické portfolio v oblasti datových platforem a nástrojů

Requirements

Bachelor's degree

Skills

SAP Enterprise Data Management Data Governance Data Catalog Data Quality Semantic Layer

Senior AI Data Engineer

Go Cadre · Posted Nov 6, 2026

Open

Remote, Colombia
Remote
Senior
5+ years

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Build data foundations for AI systems, including lakehouses, retrieval pipelines, semantic layers, and evaluation datasets.

Responsibilities

Design and build medallion lakehouses on Databricks, Microsoft Fabric, and Snowflake
Own ingestion from ERPs, CRMs, and SaaS platforms
Model and transform data with dbt, orchestrate with Airflow, Dagster, or Lakeflow Jobs
Ship pipelines through CI/CD with GitHub Actions
Build data quality checks and contracts

Requirements

Master’s degree or PhD in Computer Science, Mathematics, Engineering, or a related quantitative field
Nice to have: Snowflake Cortex
Nice to have: Palantir Foundry ontologies
Nice to have: RDF/OWL knowledge graphs
Nice to have: DSPy prompt optimization

Skills

Databricks Delta Lake Unity Catalog Lakeflow Spark Declarative Pipelines Microsoft Fabric OneLake

Distinguished Engineer - Data, Knowledge, & AI Platforms - ITC

Nike · Posted Nov 6, 2026

Open

Karnataka, India
Senior
10+ years

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Lead technical direction for Nike’s enterprise data, analytics, and AI platforms, driving architecture, modernization, and innovation at global scale.

Responsibilities

Shape technical strategy for enterprise data, analytics, and AI platforms
Partner across engineering, product, infrastructure, and security to build resilient, intelligent, and self‑service capabilities
Define and advance long‑term technical strategy with focus on scalability, resilience, security, and cost efficiency
Lead platform architecture and modernization across cloud‑native data, analytics, and AI capabilities
Build platform components enabling semantic layer, ontology, taxonomy, and knowledge graphs

Requirements

Bachelor's degree in computer science or related field

Skills

data engineering cloud platforms distributed systems semantic layer ontology taxonomy

Supply Chain Data Engineer

TechDigital Corporation · Posted Nov 5, 2026

Open

California, United States

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Requirements

Nice to have: supply chain
Nice to have: hardware operations data
Nice to have: AI readiness
Nice to have: natural-language query
Nice to have: text-to-SQL

Skills

Databricks Delta Lake lakehouse medallion Gold layer data quality DQ data observability anomaly detection metric definitions semantic layer metric views data lineage data catalog architect solution design

Job description: Own data quality alerting and issue management in Databricks: alert coverage, triage, routing, SLAs, root-cause analysis and closure; keep DQ and abnormality checks current as pipelines change; report DQ health to stakeholders. Own metric definitions, calculations and measurement standards across functions; set certification standards and the governance gate metrics must pass before official reporting; mentor analysts, data engineers and BI developers. Work with analytics engineers to architect and govern the Databricks Gold layer: certified data models with embedded DQ and abnormality checks, metric views and data lineage. Drive data readiness for AI: tiered assessments scoring datasets on completeness, accuracy and automation readiness, and turn certified metrics into natural-language queryable experiences. Must-have skills a. Databricks hands-on, including curated or Gold-layer data models [Databricks, Delta Lake, lakehouse, medallion, Gold layer]. b. Data quality ownership: DQ checks, anomaly or abnormality detection, alerting, SLAs, root-cause analysis [data quality, DQ, data observability, anomaly detection]. c. Metric governance: metric definitions and certification, semantic layer or metric views, data lineage, data governance [metric definitions, semantic layer, metric views, data lineage, data catalog]. d. Solutioning and transformation: has architected or led a data platform build, migration or modernization, not only operated pipelines [architect, solution design, transformation, migration, modernization]. Nice-to-haves: supply chain or hardware operations data; AI readiness or natural-language query on metrics (text-to-SQL, AI/BI); mentoring or leading engineers; senior level by years and scope; profile signals open to work

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Database Analyst

GTT, LLC · Posted Nov 5, 2026

Open

Boston, Massachusetts, United States
Hybrid
Contract
$50–$50 per hour
5+ years

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The Analytics Engineer III is responsible for designing, developing, and maintaining the analytics-ready data models, semantic layers, and data pipelines that power reporting, analytics, and AI-enabled solutions.

Compensation

Pay Rate: $50.00 / Hour (USD)

Responsibilities

Design, build, test, and maintain analytics-ready data models and transformations that serve as trusted sources for reporting, analytics, and AI.
Develop modular, reusable data models and transformations using dbt, SQL, and Python in cloud lakehouse environments (e.g., S3, Apache Iceberg, Trino).
Apply modern data modeling and design techniques and contribute to data architecture and design decisions.
Optimize models and queries for performance, cost, and usability, and support enhancements and troubleshooting of existing data assets.
Build and maintain the semantic and metadata layers that give people and AI systems a consistent, governed understanding of university data.

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Science, Data Analytics, or a related field (or equivalent combination of education and experience)
Nice to have: Exposure to LLMs
Nice to have: RAG
Nice to have: embeddings
Nice to have: AI-driven analytics

Skills

Advanced SQL

Data Analytics and Insights Manager

interactive investor · Posted Nov 5, 2026

Open

Manchester, England, United Kingdom +1 more
Hybrid
Full-time · Manager
£60K–£60K per year
5+ years

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Lead the Data Analytics and Insights team, owning analysis, reporting, and analytics strategy across the business.

Locations (2)

Manchester, England, United Kingdom
Leeds, England, United Kingdom

Compensation

Salary: From £60,000

Responsibilities

Define the analytics-as-a-service strategy
Engage stakeholders to understand their questions
Own the analytics roadmap across people, process, and priority
Treat AI as an essential, everyday tool across the team's analytics workflows
Work hand-in-hand with the Data Engineering and Platform team and the Data Science and Enterprise AI team

Skills

advanced SQL data modelling visualisation

Enterprise AI and Data Architect

Xplor · Posted Nov 5, 2026

Open

Remote, United States
Remote
Full-time
$173K–$193K per year
15+ years

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Lead enterprise architecture for data and AI across all business units, setting standards, governance, and platform design to enable scalable, secure, and compliant AI and data solutions.

Compensation

This position has an annual base salary range of $173,000 to $193,000 USD.

Responsibilities

Own enterprise target architecture for data and AI
Publish and maintain reference architectures, standards and decision records
Set architectural principles: modularity, API-first design, interoperability, reuse, portability and lifecycle management
Guide technology, models and patterns for each job
Design multi-tenancy patterns for 130,000+ businesses

Requirements

Nice to have: MCP
Nice to have: agent frameworks
Nice to have: LLM gateway
Nice to have: build-vs-buy decision
Nice to have: vertical SaaS

Skills

enterprise architecture data architecture Snowflake semantic layer governed metrics

Senior Java/Spark Developer

Axelon Services Corporation · Posted Nov 5, 2026

Open

Jersey City, New Jersey, United States
Hybrid
Contract · Senior
$91–$96 per hour
10+ years

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Compensation

Pay rate range: $ 91.00 - $ 96.00 Negotiable based upon years of experience

Responsibilities

Architect and build a high-performance, metadata-driven aggregation platform using Apache Spark.
Design and implement algorithms to reduce the computational complexity of high-dimensional risk aggregations.
Create a rich semantic layer over aggregated data, enabling both traditional BI and next-generation AI-driven queries.
Solve computer science challenges within Spark, optimizing data partitioning strategies and minimizing network shuffling.
Build a self-service platform empowering quants and risk managers to define new aggregations without writing new code.

Requirements

Computer Science
Financial Mathematics
Financial Engineering
Nice to have: deep computer science knowledge
Nice to have: financial engineering expertise

Skills

Apache Spark Java Python SQL Apache Pinot

Software Engineer III

Walmart IL · Posted Nov 3, 2026

Open

Bangalore, Karnataka, India +1 more
Senior
2+ years

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We are looking for a Software Engineer to join our Analytics and Visualization Platform team. The Looker Platform Engineer is responsible for configuring, deploying, and maintaining the Looker platform to ensure secure, reliable, and efficient data access and visualization across the organization. In addition, this role will develop and enable Gen AI capabilities within Looker, empowering teams to leverage advanced analytics and AI-driven insights.

Locations (2)

Bangalore, Karnataka, India
Chennai, Tamil Nadu, India

Responsibilities

Develop and enable Gen AI capabilities within Looker
Manage the semantic layer of Looker
Administer user roles, permissions, and data access controls
Collaborate with business and technical teams to deliver dashboards and reports
Configure, deploy, and maintain the Looker platform

Requirements

Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area
Nice to have: Web Content Accessibility Guidelines (WCAG) 2.2 AA

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