Senior Data Engineer, Databricks

Keyrus

Senior Databricks Data Engineer at Keyrus, transforming data complexity into measurable outcomes. Collaborating on scalable, modern cloud-based data platforms for business initiatives.

Posted 7/13/2026full-timeRemote • 🇵🇹 PortugalSenior💰 €500 - €600 per dayWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in Data Engineering, with a strong focus on building and maintaining scalable data pipelines using Databricks, PySpark, and Python within the Microsoft Azure ecosystem. Proficient in implementing CI/CD practices and ensuring high standards of data quality and security.

Highest-signal resume keywords

Data EngineeringDatabricksPySparkMicrosoft Azure Data PlatformCI/CD Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentDelta LakeDatabricks SQLPythonSQLData ModellingData WarehousingPerformance TuningWorkflow OrchestrationAgile Methodologies

Soft Skills

CollaborationEffective CommunicationProblem Solving

Tools & Technologies

Azure DevOpsGitInfrastructure-as-Code

Industry Keywords

Data GovernanceSecurity and Access ManagementMonitoring and ObservabilityCost OptimisationTechnical Documentation

Tech Stack

Tools & technologies

AzureCloudPySparkPythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines using Databricks, PySpark, Python and SQL.
Build and optimise batch and near real-time data processing solutions on the Microsoft Azure ecosystem.
Develop and maintain Delta Lake-based data architectures.
Develop robust and scalable data products and modern data platform components supporting strategic business initiatives.
Contribute to CI/CD implementation and automation for data solutions.
Apply engineering best practices around source control, testing, deployment, and monitoring.
Support Infrastructure-as-Code and environment standardisation initiatives.
Ensure high standards of data quality, observability, monitoring, security, and operational reliability.
Collaborate with Product Managers, Architects, Data Engineers, and business stakeholders to deliver high-quality outcomes.
Participate in technical design discussions and contribute to solution architecture decisions.
Support platform governance, cost optimisation, technical documentation, and knowledge sharing initiatives.

Requirements

What you’ll need

5+ years of experience in Data Engineering
3+ years of hands-on experience with Databricks
Proven experience building and maintaining modern cloud data platforms
Experience working within Agile delivery environments
Proven ability to work effectively in distributed and international teams
Professional proficiency in English.
Strong hands-on expertise with: Databricks, PySpark, Delta Lake, Databricks SQL, Workflow orchestration, Performance tuning
Strong proficiency in: Python, SQL
Experience with: Microsoft Azure Data Platform services, Azure DevOps, Git-based development, CI/CD implementation, Data modelling, Data warehousing concepts
Good understanding of: Data Governance, Security and access management, Monitoring and observability.
Ability to design and deliver scalable, secure, and cost-efficient data solutions.

Benefits

Comp & perks

Meal allowance: €10.20/day
Flexible benefits plan
Private medical insurance
22 days of annual leave, increasing every 3 years (up to 25 days)
Continuous learning via KLX – Keyrus Learning Experience
A collaborative, international, and human-centred work environment