DATA ENGINEER (f/m/d)

㌶ご; Frankfurt; Vor Ort; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

A dynamic technology company in the financial sector is looking for a motivated individual to contribute to data engineering efforts in their Frankfurt office. The role includes participation in data pipeline development, data modeling, ETL processes, and collaboration across teams. This position offers a clear career path and numerous opportunities for personal and professional growth.

Leistungen

Clear career concept

Performance appraisals

Switching between teams

360T Academy

Social gatherings

Qualifikationen

• Familiarity with Big Data technologies (Kafka, Flink/Spark, HBase).
• Experience with Data Warehouses and Data Lakes.
• Proficiency in one programming language (e.g., Python, Java, Scala).

Aufgaben

• Participate in development and maintenance of data pipelines.
• Work on ETL processes and data transformation tasks.
• Contribute to data quality assurance efforts.

Kenntnisse

Data Modeling

SQL

Problem Solving

Communication

Teamwork

Detail-oriented

Ausbildung

Relevant degrees in a technical field (e.g., Data or Computer Science)

Tools

Kafka

Flink

Spark

HBase

Jobbeschreibung

Social network you want to login/join with:

Responsibilities

1. Participate in the development and maintenance of data pipelines
2. Work on data modeling, ETL processes, and data transformation tasks to support the data warehousing infrastructure
3. Contribute to data quality assurance efforts by identifying and rectifying data anomalies and inaccuracies
4. Maintain clear and concise documentation of data pipelines, processes, and best practices
5. Work across departmental teams to support the data needs of internal partners and stakeholders, clients, and regulatory bodies
6. Stay up-to-date with emerging trends and technologies in Business Intelligence, Data Warehousing, Data Lakes, and related fields
7. Create ad-hoc reports from our data warehouse using SQL/notebooks

Your profile

1. Familiarity with Kafka, Flink/Spark, HBase, and/or other relevant Big Data technologies
2. Firsthand experience with Data Warehouses and Data Lakes
3. Knowledge of database systems, SQL, and data modeling
4. Proficiency in at least one programming language (e.g., Python, Java, Scala, Spark) is desirable
5. Experience with Cloudera solutions, both operational and application development, is a plus
6. Experience with Artificial Intelligence/Machine Learning is a plus
7. You have relevant degrees in a technical field of study (e.g., data or computer science)
8. You are curious about data engineering and enjoy solving challenges
9. Excellent analytical and problem-solving skills
10. Strong communication and teamwork abilities
11. Detail-oriented with a commitment to high-quality work

Our offer

• Clear career concept
• Performance appraisals on a regular basis
• Possibility to switch between Software Development teams according to interests, projects, and skills
• 360T Academy
• Frankfurt office located in the city center
• Social gatherings

We offer an outstanding opportunity for a highly motivated individual to participate in the growth of a successful technology company in the financial sector. The position is based in Frankfurt am Main and is available immediately. Please forward your application including your salary expectation and earliest starting date by clicking the “Apply” button.