Software Developer and Consultant, Data

Jobtailor; Berlin; Vor Ort; EUR 85.000 - 110.000; Vollzeit

Zusammenfassung

Jobtailor seeks a data engineer to design scalable data architectures and pipelines in client projects, ingest and transform data, and expose it via APIs with high quality.

You will develop tailored software with clear documentation, apply TDD and peer reviews, and collaborate with clients on-site during key project phases. German language fluency and independence are valued.

Qualifikationen

• Experience with data platforms on AWS, GCP or Azure.
• Proficiency in SQL and Python, with ETL/ELT understanding.
• German language skills and willingness to accompany clients on-site.
• Strong communication and independent working style.

Aufgaben

• Design scalable data architectures and pipelines in client projects.
• Ingest external data sources, transform data and expose via APIs with high quality.
• Develop tailored software with clear, traceable documentation.
• Apply Test-Driven Development, Pair Programming, and code reviews to maintain software quality.
• Collaborate with clients on-site during key project phases.

Kenntnisse

SQL proficiency

Python proficiency

Data quality

ETL/ELT understanding

Data transformation

API development

Tools

AWS Glue

Dbt

Databricks

BigQuery

Snowflake

Redshift

Argo Workflows

Airflow

Jobbeschreibung

• Design architectures: Use your expertise in the data domain to design and build scalable architectures, platforms and data pipelines in client projects.
• Prepare and provide data: Ingest external data sources, transform data and expose it to stakeholders via APIs—ensuring high data quality and up-to-date information.
• Develop solutions: After a comprehensive analysis of customer requirements, design and implement tailored custom software and provide clear, traceable documentation.
• Ensure quality: Keep software quality front of mind using methods such as Test-Driven Development, Pair Programming, and architecture and code reviews.

Requirements

• You have experience in the data domain with cloud providers AWS, GCP or Azure and are well versed in one or more of the following areas: Data Warehousing (e.g., BigQuery, Snowflake or Redshift), pipelines (e.g., AWS Glue, dbt or Databricks), database technologies (e.g., SQL or NoSQL) or orchestration (e.g., Argo Workflows or Airflow).
• You enjoy working with SQL and Python, understand the difference between ETL and ELT, and have initial experience with Machine Learning in production.
• Ability to work independently and in a structured manner, and enthusiasm for evaluating new topics and applying them sensibly for clients.
• Strong communication skills and business-fluent German.
• Willingness to accompany clients on-site during key project phases and meetings.

Core Competencies

Demonstrates expertise in designing scalable data architectures and pipelines, utilizing cloud platforms such as AWS, GCP, or Azure. Proficient in SQL and Python, with a strong focus on data quality and software development methodologies including Test-Driven Development.

Highest-signal resume keywords

• Data Architecture Design
• Cloud Platforms (AWS, GCP, Azure)
• SQL and Python Proficiency
• Data Warehousing (BigQuery, Snowflake, Redshift)
• Machine Learning Experience

ATS Optimization Keywords

Hard Skills

• Data Pipeline Development
• ETL and ELT Understanding
• Test-Driven Development
• Pair Programming
• Database Technologies (SQL, NoSQL)
• Data Transformation
• API Development
• Orchestration (Argo Workflows, Airflow)
• Data Quality Assurance
• Documentation Skills

Soft Skills

• Strong Communication Skills
• Independent Work
• Structured Approach
• Enthusiasm for Learning
• Client Engagement

Industry Keywords

• Data Domain
• Data Warehousing
• Data Pipelines
• Machine Learning
• Software Quality

Tools & Technologies

• AWS Glue
• Dbt
• Databricks
• BigQuery
• Snowflake
• Redshift
• Argo Workflows
• Airflow