Senior Data Engineer (all genders)
Bucharest, Romania
diconium
diconium unterstützt Unternehmen bei der digitalen Transformation durch innovative Softwarelösungen, KI-Implementierungen und maßgeschneiderte Strategien für nachhaltigen Erfolg.Join our global team of experts
At diconium, you will work on projects that create value from software, data, and AI, enabling businesses to achieve more with less. You will collaborate with over 2,300 fellow experts to support global leading companies in maximizing the impact of digital efforts and delivering solutions with measurable business impact. We prioritize people and genuine human connection, ensuring a supportive and inclusive work environment. And we give you maximum flexibility thanks to our hybrid workplace.
WHAT YOU CAN EXPECTYou 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.
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
WHAT WE HAVE TO OFFER
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.
WHAT WE VALUE
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.
Your contact person is
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Big Data Data pipelines Engineering ETL Hadoop Java Kafka Linux Pipelines Python Scala Spark SQL Unstructured data
Perks/benefits: Career development Flex hours Health care
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