Technical Leader Data Engineer

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.

As a Technical Leader Data Engineer, you will design, build, and maintain scalable data solutions on Google Cloud Platform (GCP), supporting analytics, business use cases, and AI/ML initiatives.

You will work on a greenfield migration from on‑premise to cloud, creating data architecture and models from scratch. The role combines hands‑on engineering with architectural thinking, close collaboration with business stakeholders, and ownership of data quality, performance, and cost efficiency.

You will help shape standards, best practices, and the long‑term direction of the data platform in a modern, cloud‑native environment.

• Strong GCP experience – mandatory.
• 5+ years of experience as a Data Engineer, including experience in a lead or senior role.
• Hands-on experience with the GCP ecosystem, especially:
  • BigQuery – advanced SQL, cost management, performance optimization.
  • Cloud Storage – data management and versioning.
  • Pub/Sub and Dataflow / Apache Beam or Dataproc / Spark.
• Cloud Composer (Airflow) for data pipeline orchestration and scheduling.
• Understanding of GCP security fundamentals: IAM, KMS, DLP.
• Strong Python skills (e.g. pandas, PySpark, automated testing).
• Experience in data modeling (Kimball, Data Vault, Dimensional Modeling) and multi‑layered data architectures (raw/bronze, curated/silver, semantic/gold).
• Knowledge of CI/CD tools (e.g. GitLab CI, Cloud Build).
• Practical experience in data quality (testing, monitoring, alerting).
• Familiarity with monitoring and troubleshooting tools (Cloud Monitoring, Cloud Logging).
• Experience with technical documentation and code reviews.
• Strong communication skills and ability to collaborate with business, technical, and analytics teams.
• Proactive mindset, ownership, and a strong focus on data quality.

Nice‑to‑Have:

• Experience with data management and transformation tools, such as:
  • dbt, Dataform.
  • Dataplex, Data Catalog.
• Experience with analytics and BI tools (e.g. Looker / Looker Studio).
• Knowledge of MLOps tools and platforms, including Vertex AI and Feature Store.
• Advanced experience with Apache Kafka or Apache Pulsar for streaming data.
• Familiarity with GDPR, ISO 27001, and data security policies.
• Experience with data quality frameworks (e.g. Great Expectations, Soda).
• Ability to design product‑oriented data architectures, tailored to specific business domains.
• Experience in on‑premise to cloud data migrations.
• Knowledge of Oracle (PL/SQL).

Hybrid work: 2 days a week at the office in Warsaw.