Senior Data & Analytics Engineer - Snowflake & Power BI Job at NTT DATA (Cluj)

Senior Data Engineer

As a Senior Data Engineer within the Data Engineering team, you will play a key ...

Location

United Kingdom , Abingdon

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Proven experience in delivering cloud-based data engineering solutions, ideally with Snowflake
Strong hands-on proficiency with SQL, Python, and dbt for data transformations, modelling, and pipeline automation
Practical experience with Snowflake and RBAC management
Experience with data ingestion and replication tools such as Airbyte, Fivetran, Hevo, or similar
Working knowledge of cloud services (AWS preferred)
Strong understanding of data modelling and data governance principles
Experience supporting BI/reporting tools (Power BI) and enabling them through well-designed Snowflake data models
Solid knowledge of CI/CD and version-controlled development practices in git

Job Responsibility

Design, build, and maintain high-quality data pipelines and models in Snowflake to support business analytics, BI, and operational reporting needs
Translate the defined data architecture and standards into implemented solutions—including ingestion, transformation, storage, and performance optimisation
Develop robust ELT/ETL pipelines using dbt and workflow/orchestration tools (e.g., Argo Workflows), ensuring reliability, maintainability, and adherence to engineering best practices
Implement Snowflake warehouse configurations and query optimisation techniques to ensure efficient usage and predictable cost
Apply data quality checks, lineage tracking, and security standards across the data estate. Ensure compliance with data policies, InfoSec controls, and regulatory requirements as required
Leverage Snowflake capabilities (Tasks, Streams, Snowpark, Time Travel, Secure Data Sharing) to improve automation, reduce manual effort, and enhance data accessibility across the business
Work closely with analysts, data consumers, and business stakeholders to support data product delivery, troubleshoot data issues, and enable effective usage of Snowflake datasets
Implement dimensional models that provide clean, well-structured, reusable datasets for reporting, scenario modelling, and emerging ML/AI use cases
Implement and maintain monitoring, alerting, logging, and cost-management processes for Snowflake and data pipelines to ensure a stable and well-maintained platform
Contribute to shared engineering standards to simplify development and accelerate delivery across the team

Fulltime

Senior Data Engineer

Stravito transforms how Consumer Insights professionals and Brand Managers work ...

Location

Netherlands; Sweden

Salary:

Not provided

Stravito

Expiration Date

Until further notice

Requirements

A track record of building data platforms in SaaS or cloud-native analytics environments
Strong programming skills, with depth in at least one of Python or Kotlin and willingness to work across both
Hands-on experience with MPP/cloud data warehouses (e.g., ClickHouse, Redshift, BigQuery, Snowflake, Azure Synapse) and cloud infrastructure on AWS or Azure
Practical experience designing, consuming, and maintaining APIs
Familiarity with multi-tenant security patterns: RBAC, row-level security, and identity standards such as OAuth and SAML/SSO
Solid engineering fundamentals: CI/CD, automated testing, observability, and infrastructure as code (Terraform a plus)
Working knowledge of data privacy requirements (PII handling, GDPR) and experience operating within compliance frameworks like SOC 2 or ISO 27001

Job Responsibility

Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)
Design and maintain APIs for analytics and event extraction, with multi-tenant security baked in (RBAC, OAuth, SSO/SAML)
Make data usable: whether that's modeling schemas for BI consumers, investigating a data quality issue, or helping a stakeholder understand what's possible with the data we have
Keep things reliable and secure through automated tests, monitoring, and handling of sensitive data within SOC 2 and ISO 27001 environments
Power our AI experiences by working with vector stores, indexing, and retrieval systems
Drive engineering best practices across the platform: CI/CD, peer reviews, infrastructure as code, API versioning, and clear documentation

What we offer

Remote-first, globally distributed team
Company events throughout the year
Career development opportunities
Competitive compensation
Collaborative culture

Fulltime

Senior Analytics Engineer – Cloud & FinOps

JFrog is seeking a Senior Analytics Engineer – Cloud & FinOps to help drive data...

Location

India , Bangalore

Salary:

Not provided

JFrog

Expiration Date

Until further notice

Requirements

Strong SQL and data modeling expertise
Python for data analysis and automation
Experience building data pipelines and ETL/ELT workflows
Strong analytical thinking and problem-solving skills
Experience working with large-scale operational or infrastructure dataset
Experience using AI-assisted development tools such as Cursor, Claude, Copilot, or similar
Experience working with modern data platforms such as: Redshift, BigQuery, Snowflake
Experience with analytics and visualization tools such as: Tableau / Looker / Power BI / QuickSight
Experience working with cloud infrastructure data (AWS, Azure, or GCP)
Familiarity with cloud billing datasets and cost management analytics

Job Responsibility

Analyze cloud cost and usage data across multiple cloud providers to identify cost drivers, trends, and optimization opportunities
Develop analytical frameworks that connect infrastructure usage, operational metrics, and business activity
Support FinOps initiatives by improving visibility into how platform workloads and engineering decisions influence cloud spend
Investigate cloud cost anomalies and infrastructure changes to identify root causes and improvement opportunities
Design and maintain data pipelines and transformations that ingest data from sources such as: cloud billing exports
infrastructure telemetry
operational metrics
internal product and business systems
Build scalable analytics datasets and data models optimized for infrastructure and cost analysis
Ensure data accuracy, consistency, and governance across analytical datasets

Senior Analytics Engineer

Be the technical force behind Ciphr’s data & AI platform. We’re scaling our Data...

Location

United Kingdom

Salary:

Not provided

Ciphr

Expiration Date

Until further notice

Requirements

Proven success as a Senior Analytics Engineer / Senior Data Engineer
Expertise across modern data stacks (Snowflake, dbt, Fabric, Power BI) plus advanced Python & SQL
Strong CI/CD, DevOps, Terraform/Azure DevOps
Confident with AI productivity tools (e.g., GitHub Copilot)
Communication, documentation and mentoring skills that elevate the whole team

Job Responsibility

Lead the evolution of our strategic data platform across Snowflake, dbt, Fabric and Power BI, designing for reliability, scalability and reusability
Build and optimise data & AI workflows, including LLM integrations, MCP servers, and AI DevOps for evaluation/monitoring/logging
Champion quality, CI/CD and IaC (Terraform, Azure DevOps) to enable efficient, auditable delivery
Embed security and compliance into every solution
Mentor analytics engineers and act as a trusted technical delegate for the Director of Data Science & Analytics when needed

What we offer

Private medical (Bupa)
Dental
Health cash plan
Life assurance
Income protection
Pension
30 days’ holiday + bank holidays
Birthday day off
Volunteering days
National Trust family membership

Fulltime

Senior Data Engineer

We are seeking a Senior Data Engineer to design, build, and optimize client’s mo...

Location

United States , Pittsburg/Kansas City

Salary:

Not provided

EXCEL CONSULTANTS

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Information Systems, or related field (or equivalent experience)
7+ years of experience in data engineering or similar roles
Expertise with Snowflake, including schema design, Snowpipe, Streams/Tasks, and SnowSQL
Experience in Azure cloud services
Experience of data modeling, SQL, Python, and ETL/ELT best practices
Hands-on experience implementing Medallion Architecture or equivalent layered data lake design
Familiarity with data governance, security, and CI/CD practices for data workflows
Excellent problem-solving skills and ability to work collaboratively across technical and business teams
Experience with Power BI or other BI/reporting platforms
Experience with API integrations, REST, and JSON data formats

Job Responsibility

Design, develop, and maintain scalable ETL/ELT pipelines using Fivetran and Snowflake
Implement and maintain Medallion Architecture layers (Bronze, Silver, Gold) for data curation and analytics readiness
Develop data models (conceptual, logical, and physical) supporting analytics, operational systems, and business reporting
Ensure data quality, lineage, and governance across multiple data sources and domains
Collaborate with analysts, application teams, and business stakeholders to understand data requirements and optimize data flows
Optimize Snowflake performance through warehouse sizing, query tuning, and storage management
Support the integration of structured and unstructured data from diverse systems (ERP, CRM, Shopify, SQL Server, Twilio etc.)
Contribute to the data platform roadmap, architecture standards, and automation of data engineering processes
Provide technical mentorship to junior data team members and help establish data engineering best practices

Fulltime

Senior Analytics Engineer, Business Intelligence

As CLEAR continues to scale, we’re deepening our investment in the data ecosyste...

Location

United States , New York

Salary:

165000.00 - 200000.00 USD / Year

Clear

Expiration Date

Until further notice

Requirements

6+ years of experience working in analytics engineering, BI engineering, or data engineering roles within a modern cloud data warehouse environment
Expert-level SQL: you can structure models for clarity, reuse, and performance at scale
Proven experience working with modern data stack technologies, including Snowflake, dbt, Dagster, and Looker
Deep experience with BI tools including semantic layer design, metric standardization, and the enablement of AI-driven analytics
Strong understanding of dimensional modeling and data warehousing principles
Demonstrated ability to balance technical rigor with business impact designing models that are as intuitive for stakeholders as they are efficient under the hood
Track record of driving BI and self-service, creating environments where data users can confidently explore and analyze on their own
Strong communication and influence skills, able to partner effectively across technical and business domains to align on data strategy and definitions
Proactive ownership and curiosity, always seeking opportunities to simplify, standardize, and scale how data is modeled and delivered

Job Responsibility

Own and evolve the presentation and semantic layers: design, build, and optimize data models that serve as the foundation for Analytics at CLEAR
Partner with data engineering teams to define the transformation logic (via dbt or similar frameworks) that connects raw data to consumable business views, optimize pipelines to improve query performance, and ensure models align with best practices
Own a roadmap for enabling AI-powered analytics driving improved data documentation and a path for exposing our semantic layer to AI models
Improve self-service rates by building intuitive data structures, reusable views, and clear metric definitions that empower teams to answer their own questions
Mentor analysts and analytics engineers, guiding them in data modeling best practices, BI design, and stakeholder engagement

What we offer

Comprehensive healthcare plans
Family-building benefits (fertility and adoption/surrogacy support)
Flexible time off
Annual wellness stipend
Free OneMedical memberships for you and your dependents
A CLEAR Plus membership
A 401(k) retirement plan with employer match
Catered lunches
Fully stocked kitchens
Stipends and reimbursement programs for well-being and learning & development

Fulltime

Senior Data Engineer

Intratek Computer, Inc. is seeking a highly skilled and experienced Sr Data Engi...

Location

United States , Los Angeles

Salary:

Not provided

Intratek Computer, Inc.

Expiration Date

Until further notice

Requirements

Proficiency in WhereScape RED for data warehouse automation, including designing, building, and managing data warehouses
Expertise in Snowflake’s cloud data platform, including data loading, transformation, and querying using Snowflake SQL
Experience with SQL-based development, optimization, and tuning for large-scale data processing
Strong understanding of dimensional modeling concepts and experience in designing and implementing data models for analytics and reporting purposes
Ability to optimize data pipelines and queries for performance and scalability
Familiarity with Snowflake’s features such as virtual warehouses, data sharing, and data governance capabilities
Knowledge of WhereScape scripting language (WSL) for customizing and extending automation processes
Experience with data integration tools and techniques to ingest data from various sources into Snowflake
Understanding of data governance principles and experience implementing data governance frameworks within Snowflake
Ability to implement data quality checks and ensure data integrity within the data warehouse environment

What we offer

Medical benefits
Paid vacation
Paid holidays

Fulltime

Senior Data Engineer

Location

United States , Flowood

Salary:

Not provided

PhasorSoft Group

Expiration Date

Until further notice

Requirements

Experience with Snowflake or Azure Cloud Data Engineering, including setting up and managing data pipelines
Proficiency in designing and implementing ETL processes for data integration
Knowledge of data warehousing concepts and best practices
Strong SQL skills for querying and manipulating data in Snowflake or Azure databases
Experience with data modeling techniques and tools to design efficient data structures
Understanding of data governance principles and experience implementing them in cloud environments
Proficiency in Tableau or Power BI for creating visualizations and interactive dashboards
Ability to write scripts (e.g., Python, PowerShell) for automation and orchestration of data pipelines
Skills to monitor and optimize data pipelines for performance and cost efficiency
Knowledge of cloud data security practices and tools to ensure data protection

Job Responsibility

Design, implement, and maintain data pipelines and architectures on Snowflake or Azure Cloud platforms
Develop ETL processes to extract, transform, and load data from various sources into data warehouses
Optimize data storage, retrieval, and processing for performance and cost-efficiency in cloud environments
Collaborate with stakeholders to understand data requirements and translate them into technical solutions
Implement data security and governance best practices to ensure data integrity and compliance
Work with reporting tools such as Tableau or Power BI to create interactive dashboards and visualizations
Monitor and troubleshoot data pipelines, ensuring reliability and scalability
Automate data workflows and processes using cloud-native services and scripting languages
Provide technical expertise and support to data analysts, scientists, and business users

Fulltime

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Senior Data & Analytics Engineer - Snowflake & Power BI

Job Description

Job Responsibility

Requirements

What we offer

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