Senior Data Engineer (all genders)

diconium data • Berlin

Berlin

Diconium is a specialist in the fields of data and artificial intelligence. Whether in the areas of search, social and content, personalization and analytics, data engineering or data science - our expertise helps our customers to collect the right data at the right time, to forecast services and offers and thus to make data-driven decisions. Become a part of the diconium data family and support us on our Data & AI journey!

What you can expect

You will design and develop scalable data pipelines 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.
Part of your job is to support our customers in easily and transparently obtaining the necessary data to develop smart data products in various domains (mobility, automotive, industrial, consumer, financial and non-profit).
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, and take a technical leadership role within the team.
Finally will develop and maintain documentation on data engineering processes, best practices and technologies.

This is what you bring along

Must haves:

Relevant work experience of at least 5 years in Data Engineering
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)
In-depth knowledge of batch and real-time data processing frameworks such as Apache Spark, Apache Flink or similar
Hands-on experience with cloud-based data platforms (Azure, AWS, or GCP), understanding of data modeling & data architecture and experience with Databricks
Experience in providing technical leadership and advising clients on technical concepts

Nice to have:

Knowledge of developing machine learning pipelines and models
Experience in project management using agile methodologies such as SAFe, Scrum or Kanban
Familiarity with DataOps practices and DevOps concepts
Experience implementing data quality and data governance frameworks

Your contact person is

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What we offer you

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!

Your life. Your benefits. Your diconium.

We offer you a flexible, positive work environment with a wide range of benefits, perks, rewards and opportunities.

Explore all benefits

Hybrid Workplace

At diconium, you do your thing. At your own pace. Independent of time and place. Equipped with lots of flexibility, personal responsibility and a powerful tech stack.

Hybrid Workplace

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, skin color, religion, sexual orientation, origin, disability, gender identity and other protected characteristics.

Win as a team #collaboration

diconium at a glance

Clients

Volkswagen, Bosch, Kodak Alaris and SICK, amongst others

Values

In a modern and flexible working environment we live our 4 core values #courage, #mindfulness, #collaboration and #impact.

Locations

In diverse, interdisciplinary teams we work together in many ways from remotely to onsite in one of our worldwide offices in Europe, North America and Asia.