DevOps Engineer / 1 at Inetum

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DevOps, Databricks, Python, SQL, Data Engineering, CI/CD, Automation, Monitoring, Logging, Data Integration, BI Tools, Orchestration, Scheduling, Identity Management, Governance, Disaster Recovery

Industry

IT Services and IT Consulting

Description

Company Description Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow, Lodz the company offers a wide range of IT services. Inetum Polska actively supports employee development by fully funding training, certifications, and participation in technology conferences. Additionally, the company is involved in local social initiatives, such as charitable projects and promoting an active lifestyle. It prides itself on fostering a diverse and inclusive work environment, ensuring equal opportunities for all. Globally, Inetum operates in 19 countries and employs over 28,000 professionals. The company focuses on four key areas: Consulting (Inetum Consulting): Strategic advisory services that help organizations define and implement innovative solutions. Infrastructure and Application Management (Inetum Technologies): Designing and managing IT systems tailored to clients’ individual needs. Software Implementation (Inetum Solutions): Deploying partner solutions from industry leaders like Microsoft, SAP, Salesforce, and ServiceNow. Custom Software Development (Inetum Software): Creating unique software solutions to meet specific client needs. With strategic partnerships with major technology giants, including Microsoft, SAP, Salesforce, and ServiceNow, Inetum delivers advanced technological solutions tailored to customer requirements. In 2023, Inetum reported revenues of €2.5 billion, underscoring its strong position in the digital services market. Inetum distinguishes itself by offering a comprehensive range of benefits that meet the diverse needs of employees, providing flexibility, support and commitment. Here's what makes working at Inetum unique: Flexible and hybrid work: Flexible working hours. Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities. Attractive financial benefits: A cafeteria system that allows employees to personalize benefits by choosing from a variety of options. Generous referral bonuses, offering up to PLN6,000 for referring specialists. Additional revenue sharing opportunities for initiating partnerships with new clients. Professional development and team support: Ongoing guidance from a dedicated Team Manager for each employee. Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs. Community and Well-Being: Dedicated team-building budget for online and on-site team events. Opportunities to participate in charitable initiatives and local sports programs. A supportive and inclusive work culture with an emphasis on diversity and mutual respect. Job Description We are seeking a DevOps Engineer to set up, configure, and operationalize a new Databricks environment with a primary focus on business intelligence (BI), analytics, and data engineering workflows. Working closely with our ML Ops Engineers, you will ensure Databricks is fully prepared for both traditional BI/data processing use cases and AI workloads - including secure access for data analysts, seamless integration with downstream AI and BI tools, and optimized data pipelines. Key Responsibilities Environment Setup & Configuration Deploy and configure Databricks workspace(s) for multi-team usage. Manage shared clusters, automated job clusters, and interactive clusters. Configure role-based permissions aligned with governance policies. Data Integration Enablement Establish secure connections to on-prem and cloud data sources (SQL Server, Data Lake, APIs). Build shared ingestion pipelines for BI and analytics teams. Automate daily/weekly data refresh schedules. Connectivity for BI Tools Integrate Databricks with BI platforms (e.g., Power BI). Optimize query connectors and JDBC/ODBC configurations. Operational Excellence Implement monitoring and logging for jobs and pipelines. Define backup and disaster recovery processes. Apply cost tracking and optimization practices for cluster usage. Automation & CI/CD Set up CI/CD pipelines for data engineering code. Manage deployment workflows for notebooks, SQL queries, and data models. Collaboration Partner with ML Ops Engineers to align infrastructure for ML and BI use cases. Work with Data Engineers to maintain central data sources. Collaborate with security teams to enforce access controls. Governance Enforce GDPR and internal compliance rules. Maintain workspace auditing and logging. Document environment setup and operational procedures. Qualifications Proven experience in DevOps / Data Platform operations with cloud-based tools. Strong experience in Databricks environment administration. Proficiency in Python for automation. Familiarity with BI tool integration via Databricks connectors. Solid knowledge of SQL and data engineering fundamentals. Experience with orchestration/scheduling tools (Databricks Workflows, Airflow, Azure Data Factory). Understanding of Identity & Access Management in cloud environments. Preferred Qualifications Experience in multi-team Databricks environments with ML and BI workloads. Familiarity with Azure Databricks ecosystem (Azure Data Lake, Synapse Analytics). Exposure to Infrastructure-as-Code tooling (Terraform, ARM templates). Performance tuning for BI queries on large datasets. Knowledge of Delta Lake data architecture. Must have: Terraform Python (automation) English (B2) & Polish (B1) language Nice to have: Databricks environment administration (ideally on Azure). Additional Information Hybrid work model: 3 days from the office, 2 days of home office. Office locations: Warszawa, Lublin, Poznań

Responsibilities

The DevOps Engineer will set up, configure, and operationalize a new Databricks environment focusing on business intelligence, analytics, and data engineering workflows. This role involves collaborating with ML Ops Engineers to ensure Databricks is optimized for both traditional BI and AI workloads.