Data Engineer | TMB at Inetum

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

0.0

Posted On

19 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GCP, SQL, PL/SQL, Python, Scala, Linux, Bash Scripting, Cloudera Hadoop, Apache Spark, Apache Kafka, ETL, Real-time Data Processing, CI/CD Pipelines, Data Governance, Data Quality Management

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 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. 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. 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 As a Data Engineer, you will be responsible for: Building and maintaining processes for collecting data from various sources into the Data Lake. Designing, developing, and optimizing complex data pipelines to ensure reliable data flow. Creating, developing, and maintaining frameworks that facilitate the construction of data pipelines. Implementing comprehensive testing frameworks for data pipelines. Collaborating with analysts and data scientists to ensure the delivery of high-quality data. Ensuring robust data management, security, and compliance practices. Researching and implementing new technologies to improve data pipeline performance. Leveraging and integrating data from various types of source systems, including Kafka, MQ, SFTP, databases, APIs, and file shares. Qualifications Proficiency in cloud platforms and services- GCP. Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Minimum 3 years of experience as a Data Analyst or Data Quality Analyst in a data-driven organization. Proven experience in data quality management and data governance practices. Strong database expertise, including advanced SQL and PL/SQL. Proficiency in Python, with experience in Scala as a plus. Experience with Linux and bash scripting. Solid understanding of Cloudera Hadoop technology stack (Apache Spark, Apache Kafka). Knowledge of data handling principles, including ETL processes and real-time data processing. Nice to have: Experience with CI/CD pipelines and automation tools. Strong understanding of data governance principles, including metadata management and data quality frameworks. Ability to work with and understand various source system types (Kafka, MQ, SFTP, databases, APIs, file shares). Additional Information Hybrid work- 3 times a week from the office in Warsaw.

Responsibilities

The Data Engineer will be responsible for building and maintaining processes to collect data into the Data Lake and designing, developing, and optimizing complex data pipelines for reliable data flow. This role also involves creating frameworks, implementing testing, collaborating with analysts and data scientists, and ensuring robust data management and security.