DataOps Consultant, Lakehouse Support

DataOps Consultant, Lakehouse Support

DataOps Consultant, Lakehouse Support

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Remote Poland, Poland

Relocation friendly

Technical Support (SL2)

BCM Industry

16/10/2026

Req. VR-123002

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Project description

We are hiring a Support Engineer who combines production support expertise with DevOps engineering capability and AI fluency. This role spans the full D&E portfolio: in-house .NET/C# applications, APIs, event-driven systems, data platforms, and BI tools. You will ensure operational stability while continuously improving reliability through automation, observability, and modern DevOps practices.

You will work directly alongside Software Engineers as the bridge between development and operations, owning incident resolution, CI/CD pipeline health, infrastructure automation, and production readiness. You will leverage AI tools daily to accelerate triage, automate runbooks, and proactively detect issues before they impact users.

We are an AI-first engineering team: you will use AI-powered observability, automated diagnostics, and intelligent incident management to deliver faster resolution and higher system reliability.

Responsibilities

• Perform deep operational diagnostics across data pipelines (batch/stream);

• Coordinate resolution across platform engineering, Data Engineers and data domain teams (Databricks, Snowflake, Palantir);

• Ensure correct usage of ITSM tools (e.g., ServiceNow) for incident tracking and lifecycle management;

• Monitor critical workflows using Dynatrace;

• Workflows orchestration using StoneBranch;

• Leverage metadata and documentation for troubleshooting and root cause analysis;

• Maintain clear ownership, escalation paths and communication during incidents;

• Reduce incident noise and recurring issues through structured problem management

Skills

• Must have

• Production Support and Incident Management:

• Own L2/L3 production support across in-house applications (.NET/C#, Python), APIs, event-driven systems, and data platforms.

• Lead incident triage, diagnosis, and resolution with structured root cause analysis (RCA) and post-incident reviews.

• Manage incident, problem, and change management processes aligned with ITIL best practices.

• Coordinate with development teams, infrastructure, and vendors for escalation and resolution of complex production issues.

• Maintain and improve production verification suites, canary checks, and reliability playbooks.

• DevOps and CI/CD:

• Own and maintain CI/CD pipelines in Azure DevOps: build, test, deploy, and release automation for both application and data platform projects.

• Infrastructure as Code: Terraform, Bicep, or ARM templates for provisioning and managing Azure cloud resources.

• Container orchestration: Docker and Kubernetes (AKS) for deploying, scaling, and troubleshooting containerized services.

• Environment management: provision, configure, and maintain development, staging, and production environments.

• Implement and maintain deployment strategies (blue-green, canary, rolling) to minimize production risk.

• Cloud and Infrastructure:

• Azure: Practical experience with App Services, AKS, Functions, Event Hubs, Storage, Key Vault, Azure SQL, and Azure Monitor.

• Manage cloud resource health, cost optimization, and security posture.

• Support microservice architectures: service discovery, load balancing, scaling, and resilience patterns.

• Networking fundamentals: DNS, load balancers, firewalls, VNets, and private endpoints in Azure.

• Observability and Monitoring:

• Implement and manage monitoring stacks: Dynatrace, Azure Monitor or equivalent.

• Build and maintain alerting rules, dashboards, and SLO/SLI tracking for critical services and data pipelines.

• Distributed tracing with OpenTelemetry: correlate trace IDs across services, diagnose latency bottlenecks, and validate signal fidelity.

• Data observability: monitor data pipeline health, detect anomalies, latency issues, and data loss using platforms like Monte Carlo Data or equivalent.

• Log aggregation and analysis for rapid incident diagnosis.

• Application and Data Platform Support:

• Applications: Support .NET/C# backend services, REST/GraphQL APIs, event-driven systems (Solace, Kafka, RabbitMQ), and WPF/web front-ends.

• Data Platforms: Support ETL/ELT pipelines (PySpark, Spark), big data platforms (Databricks, Palantir Foundry), and data warehouses.

• Databases: Advanced SQL for diagnosing data issues, validating transformations, and supporting migrations (SQL Server, MongoDB).

• Scheduling and Orchestration: Manage batch workloads in StoneBranch, Airflow, or equivalent.

• AI-First Engineering (How We Work)

• AI-powered incident triage: use AI tools to cluster alerts, suggest root causes, and recommend resolution steps from historical incident data.

• Automated runbooks: build and maintain AI-assisted diagnostic scripts that accelerate common troubleshooting workflows.

• AIOps: leverage AI/ML for anomaly detection, predictive alerting, and capacity forecasting across applications and data pipelines.

• AI coding assistants (GitHub Copilot, Cursor) used daily for scripting, automation, configuration, and documentation.

• Support AI-based applications and services deployed by D&E teams; understand model serving, inference pipelines, and their operational requirements.

• Responsible AI: follow engineering playbooks for data handling (no sensitive data in prompts), security, and observability of AI-generated changes.

• Scripting and Automation:

• Python scripting for operational automation, data validation, and diagnostic tooling.

• PowerShell for Windows administration and Azure resource management.

• Build self-healing mechanisms and automated remediation where feasible.

• Nice to have

• Palantir (Foundry) — DQC setup in workshop, diagnostics of build failures and data pipelines

• Monte Carlo — data quality alert management and observability

• Azure DevOps — repository management, CI/CD

• Working knowledge of investment management data: portfolio terminology (maturity date, value date), trade lifecycle, market and risk data; familiarity with domain systems (Optima, Cardia)

• Understanding of data lineage, observability and metadata-driven operations concepts

• Exposure to enterprise-scale data platforms and batch orchestration / data workflow tools

• Other

• Languages

• English: C1 Advanced

• Seniority

• Senior

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• Luxoft Benefits*

• Global Relocation

• ●Relocation options

• ●Experience in an international environment

• ●Cross-cultural experience

• Recognition and Evaluation

• ●Feedback culture

• ●Regular appraisals

• Time Off*

• ●Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority

• ●Occasional leave - 1 or 2 days/ depending on the circumstances

• ●Child care leave - 2 days or 16 hours per year

• ●Absence due to force majeure - 2 days or 16 hours per year

• ●Maternity Leave - 20 weeks

• ●Parental Leave - 41 weeks

• ●Paternity Leave - 14 days

• Luxoft Training Center

• ●Expert-led tech courses covering basic to advanced topics

• ●Internal instructor-led soft skills courses

• ●Comprehensive in-house self-learning resources for both soft and hard skills

• ●Access to external self-learning libraries like ProQuest eBook and Udemy for Business

• ●Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy

• ●Custom Learning Programs: upskilling, reskilling, technical mentorship

• ●Leadership Programs for Managers

• Well-being and Work-life Balance

• ●Multisport card

• ●Possibility to order Multisport card at the corporate rate for family members

• ●LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.

• ●One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners

• ●Preferential banking offer

• ●Preferential car leasing offer

• ●Cafeteria program discounts for shops, cinema tickets, holiday offers

• ●Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support

• Health Care

• ●Private Healthcare Insurance with unlimited access to specialists

• ●Full dental support

• ●Travel Insurance

• ●Possibility to add private healthcare coverage for family members at the corporate rate

• ●Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer

• ●Reimbursement for corrective glasses