We are looking for a DevOps/FinOps Engineer to join our technology team and take ownership of the reliability and cost efficiency of our data platform on Azure. This role will be responsible for keeping the platform running well and making sure we are spending on it intelligently. This role will not just track costs, it will bring concrete options to the table and work with data engineers and architects to implement them.
Key Responsibilities
Reduce technical debt in infrastructure and deployment tooling and promote automation across the team;
Support incident response and root cause analysis for platform reliability issues;
Implement agreed cost optimisations directly or in collaboration with data engineers: cluster right-sizing, storage tier changes, scheduling adjustments and pipeline restructuring;
Contribute to capacity planning and cloud budget forecasting alongside the IT Management Team;
Analyse cost drivers and bring concrete optimisation options to data engineers and architects, with trade-off analysis and a clear recommendation;
Build and maintain platform observability: monitoring dashboards, alerting and SLA tracking for the data platform;
Support the Databricks migration by ensuring the new platform is provisioned and deployed through automated and repeatable processes;
Monitor platform costs continuously: identify anomalies, attribute spend to workloads and maintain tagging and chargeback models;
Build and maintain Infrastructure as Code for all data platform components on Azure;
Design and maintain CI/CD pipelines for the data platform: infrastructure provisioning, environment promotion and deployment automation.
Personal Competencies
Good written and verbal communication skills, with the ability to present cost and infrastructure trade-offs clearly to both technical and non-technical stakeholders;
A mindset focused on continuous improvement, automation over manual intervention and shared ownership of cloud spend.
Professional Competencies
Previous experience in the energy, utilities or telcos sector is a plus (not mandatory);
Experience with cloud cost analysis: identifying cost drivers, designing tagging strategies and building chargeback or showback models;
Proven ability to propose and evaluate cost optimisation alternatives, being able to perform technical discussions with options and trade-offs, not just observations.
Leadership Competencies
Collaboration with external partners and internal stakeholders (technical and non-technical).
Qualifications
Education / Further Education
Software Engineering (or similar).
IT Know-how
Hands-on experience with Infrastructure as Code: Terraform or Bicep;
Experience with Azure Monitor, Log Analytics or equivalent observability and alerting tooling;
Python or Bash scripting for automation and platform tooling;
Hands-on experience with Databricks on Azure: cluster management, job scheduling, cost optimisation and platform administration is a differentiator;
Familiarity with Databricks-specific optimisation techniques: auto-scaling policies, spot instances, Delta Lake storage tuning and cost analysis via system tables;
Awareness of FinOps frameworks and structured approaches to cloud financial management;
Experience working on or alongside a data platform migration is a plus;
Solid hands-on experience with Azure: compute, storage, networking, identity and cost management;
Experience building and maintaining CI/CD pipelines for infrastructure and platform deployments.
Languages
Portuguese (Native);
English (Advanced);
Spanish (Basic Skills).
What we offer
Health and Life insurance
Birthday day off
Team building events
Office snacks on Fridays
24-hour psychological support line
Discounted gym memberships
Great Place to Work environment and other employee benefits
Location: Vila Real & Porto
Work type: Full time, 100% in the office
We look forward to welcoming you!
By applying for this position, you consent to our data protection and processing policy for recruitment, available at: https://goldenergy.pt/info/recrutamento/
We are committed to equal opportunities and welcome applications from all suitable candidates, irrespective of gender, age, disability, ethnicity, religion or belief, sexual orientation, or any other protected characteristic.