Data Engineer | TMB

Inetum; Warsaw (IN); Hybrid; USD 49,000 - 71,000; Full time

Benefits offered by this job

Hybrid work model

Fully funded training & certifications

Cafeteria benefits & referral bonuses

Team-building budget

Job summary

Inetum Polska is seeking a Data Engineer to design, develop and maintain end-to-end data pipelines feeding a Data Lake. You will work with analysts and data scientists to ensure high-quality data and robust governance across sources like Kafka, MQ, SFTP, and databases.

The role requires 3+ years in data-focused roles, strong SQL/PLSQL, Python, Linux/bash, and experience with Hadoop/Spark ecosystems. Hybrid Warsaw-based work with growth opportunities is offered.

Qualifications

• 3+ years as a Data Analyst or Data Quality Analyst in a data-driven org.
• Proven data quality management and governance experience.
• Strong SQL with PL/SQL proficiency.
• Experience with Linux and Bash scripting.
• Knowledge of ETL and real-time data processing.

Responsibilities

• Building and maintaining data collection processes into the Data Lake.
• Designing and optimizing data pipelines for reliable data flow.
• Developing frameworks to accelerate pipeline construction.
• Collaborating with analysts and data scientists to ensure data quality.
• Ensuring robust data management, security, and compliance.
• Researching new technologies to improve pipeline performance.
• Integrating data from Kafka, MQ, SFTP, databases, APIs, and file shares.

Skills

GCP

SQL/PLSQL

Python

Linux & Bash

Apache Spark/Kafka

Data governance

Education

Bachelor’s or Master’s in Data Science/CS/Statistics/Economics

Tools

Cloudera Hadoop

Spark

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.
• 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.

Profile

• 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).

About Inetum

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.

Additional Information

• Hybrid work- 3 times a week from the office in Warsaw.
• We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at: https://inetum.whispli.com/speakup?locale=pl