Data Engineer

Join our global team of experts 

At Diconium, we do digital business transformation across various industries. As a team member, you will work on projects that generate value from software, data, and AI by delivering strategies and solutions that challenge conventional industry practices and drive technological progress. Together with over 2,300 fellow experts, you enable Fortune 500 firms, global market leaders, and SMEs to maximize the impact of their digital initiatives and achieve digital excellence. In everything we do, we prioritize people and genuine human connections, ensuring a supportive and inclusive work environment. And we give you maximum flexibility thanks to our hybrid workplace. 

• You will gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.

• You will work on fast paced and innovative projects with the goal to deliver innovative solutions for our customers.

• You will design, implement, and manage scalable data pipelines using cloud-native technologies to efficiently process and analyze large volumes of data.

• You will evaluate and implement new technologies and tools in the area of data engineering to continuously improve the efficiency and performance of our data processing processes.

• You will work closely with Data Scientists and Analysts, identifying potential data sources and evaluating their utility to understand data requirements and develop appropriate solutions.

• Additionally you will share your expertise and experience with other team members, contribute to knowledge sharing and development of the team.

• Finally you will develop and maintain documentation on data engineering processes, best practices and technologies.

Must haves:

• Relevant work experience of at least 2 years in Data Engineering.

• Proficient in creating and deploying cloud-native data pipelines.

• Sound knowledge of at least one programming language (such as Python, Java or Scala) and experience with Big Data technologies (such as Hadoop, Spark or Kafka).

• Experience with Data Integration and ETL tools (Azure Data Factory or Azure Synapse), data modeling & data architecture.

• Experienced in Unix and Linux environments, utilizing Bash for scripting and automation tasks.

• Skilled in using Azure Storage, SQL and SQL Database.

Nice to have:

• Java, Go, Bash

Discover new skills and improve your strengths, adapt your working day to your personal lifestyle, celebrate community, sustainability and diversity. And sweeten your working life with awesome perks and benefits

Professional & Personal Growth: Develop yourself both professionally and personally through training programs, free language courses, competence centers and an active tech community.

Flexible Work-Life Balance: Benefit from hybrid work, workation, flexible hours, parental support and sabbaticals.

Embrace Diversity & Sustainability: Engage in our Sustainability Hub, diverse communities, Diversity Taskforce and after-work activities.

Comprehensive Benefits: Enjoy public transport tickets, job bikes, health offers, supplementary insurances, a pension plan and various discounts.

At Diconium, we value and recognize the unique perspectives and experiences of each individual. With this in mind, we welcome and cherish every single application equally. At the same time, we stand up against any type of discrimination and harassment based on gender, age, skin color, religion, sexual orientation, origin, disability, gender identity and other protected characteristics.
 

If you have any questions, feel free to reach out.

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