Creator of value in the era of Data and Digital
Keyrus helps enterprises take advantage of the Data and Digital paradigm to enhance their performance, assist them with their transformation and generate new levers for growth and competitiveness.

Keyrus

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data-engineer

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

Creator of value in the era of Data and Digital

Keyrus helps enterprises take advantage of the Data and Digital paradigm to enhance their performance, assist them with their transformation and generate new levers for growth and competitiveness.

• Lead the design, development, and optimization of Databricks-based data solutions , supporting analytics, data science, and machine learning use cases from ingestion through production.
• Design and implement lakehouse architectures , following medallion architecture principles to ensure scalability, data quality, governance, and performance.
• Build and maintain parameterized ingestion frameworks for batch and near real-time pipelines.
• Design, implement, and operate CI/CD pipelines to enable reliable, automated deployments across environments.
• Define, promote, and enforce Databricks best practices , including the use of Feature Store, MLflow, Model Registry, Unity Catalog, and Databricks Asset Bundles (DAB).
• Act as a technical leader and mentor , confidently guiding and constructively challenging junior-to-mid-level Databricks and ML engineering teams.
• Assess existing data platforms and pipelines, identifying opportunities to improve performance, cost efficiency, security, and maintainability.
• Partner closely with architects, data scientists, engineers, and business stakeholders in a fast-paced consulting environment.
• Communicate technical decisions clearly and persuasively to both technical and non-technical audiences, demonstrating strong consulting presence.

Senior Data Engineer, Databricks

Senior Data Engineer Consultant designing and optimizing Databricks-based data solutions for Keyrus. Leading technical projects, collaborating with teams to drive data engineering best practices during the data lifecycle.

• Lead the design, development, and optimization of Snowflake-based data solutions for enterprise clients
• Work closely with the client's internal architect and delivery teams to shape scalable, secure, and high-performing data architecture
• Confidently challenge technical decisions when needed, bringing a strong point of view grounded in Snowflake best practices and modern data architecture principles
• Assess current-state data platforms, pipelines, and patterns, then identify opportunities for improvement, simplification, modernization, and optimization
• Design and implement robust batch and near real-time data pipelines to support analytics, reporting, and advanced data use cases
• Develop and optimize data transformation layers using SQL, Python, dbt, and related modern data engineering practices
• Drive Snowflake platform excellence across performance tuning, workload optimization, cost efficiency, data modeling, security and governance, and orchestration and automation
• Proactively introduce and evaluate relevant Snowflake capabilities such as Snowpark, Streams and Tasks, Dynamic Tables, data sharing, and other platform enhancements
• Contribute to platform strategy discussions, including articulating the strengths and tradeoffs of Snowflake versus other modern data platforms
• Partner with engineers, analysts, architects, and business stakeholders to deliver production-ready solutions in a fast-paced consulting environment
• Support pre-sales, discovery, and technical advisory conversations when needed

Senior Data Engineer, Snowflake

Senior Data Engineer / Snowflake Architect leading the design and optimization of data solutions. Working closely with clients and internal teams to build scalable architectures in a hybrid environment.

data-analyst

• Participating in business analysis workshops to gather, understand, and clarify reporting and analytics requirements
• Designing and developing reports and dashboards to meet both informational and operational needs, following best practices in Power BI, Qlik or any other BI tools
• Providing support for BI applications in production, ensuring performance, reliability, and user satisfaction
• Documenting Business Intelligence and information management solutions, with a focus on Power BI or Qlik architectures, models, and dashboards
• Leading BI migration initiatives, such as Qlik to Power BI, On-premise to cloud BI environments
• Executing work in alignment with established Business Intelligence standards, contributing to the continuous improvement of BI practices
• Running demos, client presentations, and Proofs of Concept (POCs) to showcase BI solutions and analytics capabilities
• Collaborating with data engineers and platform teams to align dashboards with underlying data models and pipelines

BI & Data Analytics Consultant

BI & Data Analytics Consultant at Keyrus, specializing in delivering analytics solutions and reports. Collaborating with global teams and clients to enhance data-driven decision-making.

solutions-engineer

• Collaborate with clients to understand business goals, technical requirements, and analytics needs, translating them into scalable and effective data architecture solutions.
• Lead the design and oversight of end-to-end data and analytics solutions, including data pipelines, data lakes, cloud data warehouses, orchestration workflows, and analytics enablement architectures.
• Define architectural patterns, reusable frameworks, and best practices across modern data platforms and technologies such as Amazon Redshift, AWS Glue, AWS Lambda, AWS Step Functions, Python, Tableau, Snowflake, Databricks, Microsoft Fabric, and other cloud data services.
• Provide architectural governance across multiple engagements to ensure consistency, scalability, quality, and alignment with best practices, while proactively managing risks and delivery complexity.
• Partner closely with data engineering, analytics, and visualization teams to ensure strong alignment between backend data architecture and front-end reporting and BI needs, especially within Tableau-centric environments.
• Contribute to technical pre-sales, solution shaping, and proposal development by defining strong architectural approaches aligned to client business outcomes.
• Support practice growth by helping define standards, accelerators, and differentiated offerings in data engineering and analytics architecture.
• Collaborate closely with partners to align solutions, stay ahead of platform evolution, and build differentiated offerings for our clients.
• Guide and mentor consultants and engineers by providing technical leadership, architectural direction, and support throughout project delivery.
• Enable the use and adoption of AI and intelligent automation capabilities where relevant within modern data platforms and workflows.

Solution Architect Consultant – Data & Analytics Architecture

Solution Architect at Keyrus empowering organizations through data and analytics architecture. Collaborating with clients and leading design and oversight of data solutions in a hybrid role.

• Collaborate with clients to understand business objectives and technical requirements, translating them into scalable, secure, and high-performing data solutions
• Lead end-to-end delivery of data initiatives: design, build, and optimize data pipelines, lakehouse architectures, and analytical data models using Azure and Snowflake as the core platform, alongside Microsoft Fabric and Databricks services
• Develop and maintain robust batch and near real-time data pipelines, supporting analytics, reporting, and advanced data use cases.
• Build data transformation and analytics engineering layers using SQL, Python, Spark, and tools such as dbt, following modern data modeling and testing practices
• Implement and integrate data ingestion solutions using tools such as Fivetran (or equivalent), APIs, file-based ingestion, and cloud-native services
• Contribute to engineering for advanced analytics and ML/AI use cases, including feature pipelines, streaming integrations (Kafka/Kinesis/Event Hubs), and integrations with AI platforms and services
• Contribute technical expertise to solution design, proposals, and pre-sales conversations, adding strategic value in client and partner discussions
• Work closely with data engineers, analysts, architects, and business stakeholders to deliver cohesive, production-ready solutions

Senior Data Engineer, Consultant

Senior Data Engineer Consultant at Keyrus, focusing on Snowflake and cloud data platforms. Engaging in client-facing consulting and embracing innovative data initiatives.

• Collaborate with clients to understand business objectives and technical requirements to translate them into effective data solutions.
• Lead end-to-end delivery of data initiatives: design, build, and optimize scalable data pipelines, data lakes and architectures using Databricks, Fabric, and other modern cloud tools (Snowflake, Azure Data Services, etc.).
• Define architectural patterns, reusable accelerators, and modernization frameworks using Databricks, Fabric, Snowflake, Azure, DBT and emerging technologies.
• Provide architectural governance and oversee multiple engagements to ensure consistency, quality, and alignment with best practices.
• Proactively manage risks, resourcing, and margin protection.
• Lead and scale the data engineering practice, including capability building and setting technical standards.
• Contribute to technical pre-sales, shape solution offerings, and support industry-specific use-case development.
• Collaborate closely with our partners to align solutions, stay ahead of platform evolution, and build differentiated offerings for our clients.
• Manage a technical team, providing guidance, mentoring, and support to ensure successful delivery and development of team members.
• Enable the use and adoption of AI capabilities within existing data platforms and solutions.

Managing Consultant, Data Engineering

Managing Consultant specializing in Data Engineering at Keyrus, providing strategic data solutions with a focus on innovation and client collaboration.

Creator of value in the era of Data and Digital Keyrus helps enterprises take advantage of the Data and Digital paradigm to enhance their performance, assist them with their transformation and generate new levers for growth and competitiveness.

Keyrus

About the company

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6 jobs found

Senior Data Engineer, Databricks

Keyrus

Senior Data Engineer, Snowflake

Keyrus

BI & Data Analytics Consultant

Keyrus

Solution Architect Consultant – Data & Analytics Architecture

Keyrus

Senior Data Engineer, Consultant

Keyrus

Managing Consultant, Data Engineering

Keyrus