DevOps & Data Quality Platform Engineer (Remote)

Lingarogroup; Poland; Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Stable employment

Office or remote work option

Workation policy

Great Place to Work certified employer

Flexible working hours and contract

Extensive onboarding and buddy program

Continuous learning and certifications

Job summary

Lingarians seek a Platform Engineer to architect and evolve the M&O platform, focusing on observability, data quality, and scalability within Azure cloud and Databricks ecosystems.

You will implement SRE principles, build automated resolutions, and drive dashboards for cross-functional stakeholders while advancing CI/CD and IaC practices.

Qualifications

• 4+ years in a similar role.
• Fundamental understanding of SRE for reliability, scalability, performance.
• Experience with Cloud & Kubernetes (MS Azure, AKS, Kafka, HVR, Databricks).
• Expertise in coding & scripting (Python, Java, Shell); strong automation skills.
• Monitoring, alerting, logging experience; exposure to Grafana/Datadog/Dynatrace or in-house open-source tools.
• Experience with CI/CD (Terraform, GitHub Actions).
• Ability to manage infrastructure as code and implement CI/CD pipelines.
• Experience building enhanced data resiliency by defining/tracking DQ metrics (Timeliness, Consistency, Completeness, Accuracy).
• Strong problem-solving, attention to detail, collaborative across teams.
• English proficiency at least B2.

Responsibilities

• Architect, build, and evolve the core M&O platform and services for observability and data quality.
• Maintain and enhance reliability, availability, and performance of critical applications and data infrastructure using SRE principles.
• Develop intelligent systems to proactively identify issues and trigger automated resolutions.
• Build and integrate capabilities to measure, monitor, and report data quality across pipelines (Timeliness, Consistency, Completeness, Accuracy).
• Create a unified dashboarding interface (Grafana, Power BI, Databricks) for KPIs, system health, and data insights.
• Drive automation via IaC, CI/CD pipelines, and scripting for provisioning and deployment.

Skills

SRE

Cloud & Kubernetes

Python

Java

Shell scripting

CI/CD

Terraform

Grafana

Datadog

Dynatrace

Tools

Azure AKS Databricks Kafka Fivetran

HVR

Grafana

Prometheus

Job description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Platform Design, Development & Evolution: Architect, build, and continuously evolve the core M&O platform and services, leveraging modern technologies and best practices to provide comprehensive observability and data quality functions.

Ensuring System Reliability & Performance: Actively maintain and enhance the stability, availability, and performance of critical applications and data infrastructure by integrating Site Reliability Engineering (SRE) principles directly into the platform's design and operation.

Proactive Issue Detection & Resolution: Develop and integrate intelligent systems within the platform to proactively identify, diagnose, and trigger automated or semi-automated resolution for technical issues, performance bottlenecks, and anomalies across all operational and data systems.

Advanced Data Quality Platform Implementation: Build and integrate capabilities within the M&O platform for continuously measuring, monitoring, and reporting on all critical data quality dimensions (Timeliness, Consistency, Completeness, Accuracy, Validity, Uniqueness) across diverse supply chain pipelines, including Warehousing, Transformation, SAP, Manufacturing, and other critical data sources.

Centralized Insights & Dashboarding: Develop and manage a unified dashboarding interface (e.g., Grafana, Power BI, Databricks) within the platform to visualize key performance indicators, system health, operational metrics, financial insights (FinOps), and granular data quality metrics for various stakeholders.

Automating Infrastructure & Operations: Drive the platform's automation capabilities through Infrastructure as Code (IaC), Continuous Integration/Continuous Delivery (CI/CD) pipelines, and extensive scripting (Python, Shell) for provisioning, deployment, and operational workflows.

Managing Core Data & Cloud Technologies: Integrate and optimize essential technologies like Fivetran, AKS, Kafka, Azure SQL Server, Databricks, and Flink into the M&O platform, ensuring seamless operation and data flow within the Azure cloud environment.

Optimizing Cloud Resources & Costs: Embed FinOps practices and reporting into the platform to monitor cloud resource utilization and spending, identifying opportunities for cost reduction and ensuring efficient allocation of infrastructure investments.

Fostering a Culture of Continuous Improvement: Leverage platform data and SRE practices to continuously analyze operational incidents, performance trends, and data quality issues, driving ongoing enhancements to both the platform and the systems it monitors.

Enabling Data-Driven Decision Making & Compliance: Ensure the M&O platform provides accurate, timely data and insights, derived from both monitoring and high-quality data across all domains, to support informed business decisions, while also guaranteeing compliance with regulatory requirements for data integrity and auditability.

At least 4 years of experience in a similar position.

Fundamental understanding of SRE methodologies for reliability, scalability, and performance.

Experience with Cloud & Kubernetes (MS Azure, AKS, Kafka, HVR, Databricks).

Expertise in coding & scripting (Python, Java, Shell Scripting).Strong automation skills using scripting languages for infrastructure management and tool development.

Expertise in monitoring, alerting, and logging systems to ensure visibility into system health. Prior experience in working on Grafana/ Datadog/Dynatrace/ or someone who has worked in teams which built inhouse platform using open-source tools(Grafana, Prometheus, etc.).

Experience with CI/CD (Terraform, GitHub Actions).Ability to manage infrastructure as code and implement continuous integration/continuous delivery pipelines for reliable deployments.

Previous working experience in working on building Enhanced data resiliency by defining and tracking key Data Quality (DQ) metrics, including Timeliness, Consistency, Completeness, and Accuracy.

Strong problem-solving skills, attention to detail, and a willingness to work collaboratively with development and infrastructure teams.

English at least B2.

Stable employment.On the market since 2008, 1500+ talents currently on board in 7 global sites.

“Office as an option” model.You can choose to work remotely or in the office.

Workation.Enjoy working from inspiring locations in line with our workation policy.

Great Place to Work® certified employer.

Flexibility regarding working hours and your preferred form of contract.

Comprehensive online onboarding program with a “Buddy” from day 1.

Cooperation with top-tier engineers and experts.

Unlimited access to the Udemylearning platformfrom day 1.

Certificate training programs.Lingarians earn 500+ technology certificates yearly.

Upskilling support.Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

Grow as we grow as a company.76% of our managers are internal promotions.

A diverse, inclusive, and values-driven community.

Autonomy to choose the way you work.We trust your ideas.

Create our community together.Refer your friends to receive bonuses.

Activities to support yourwell-being and health.

Plenty of opportunities to donate to charities and support the environment.

Modern office equipment. Purchased for you or available to borrow, depending on your location.