Data & Analytics Engineer

Jobtailor; Hamburg; Vor Ort; EUR 65.000 - 95.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a data/analytics engineer to design and implement backend Python services for data access and distribution. You will build CI/CD pipelines on AWS/Kubernetes, design data models (Avro, SQL) and publish schemas via Kafka Schema Registry, and create access layers in Snowflake for API-based consumption.

You will coordinate with Data and Tech teams to align schemas and timelines, leveraging modern data stack tools like dbt, and staying open to AI-assisted development workflows.

Qualifikationen

• 3+ years of experience in analytics engineering, data engineering, or a related role.

Aufgaben

• Design, implement, and maintain backend Python services powering our data access and distribution layer.
• Build and operate automated build, test, and deployment pipelines following CI/CD and GitOps on AWS and Kubernetes.
• Design and maintain data models and schemas (Avro, SQL) for data pipelines and publish to downstream consumers via Kafka-based distribution and schema registry.
• Build access-layer data models in Snowflake so apps can work with data via API.
• Coordinate between Data and Tech divisions, aligning priorities, schemas, and timelines across teams.

Kenntnisse

Analytical mindset

Attention to detail

Problem-solving

Excellent communication

English fluency

AI-assisted development workflows

Tools

Python

SQL

Kafka

Kafka Schema Registry

Avro

Protobuf

JSON Schema

Snowflake

BigQuery

Redshift

dbt

CI/CD

Kubernetes

API Development

Jobbeschreibung

• Design, implement, and maintain backend services in Python that power our data access and distribution layer
• Build and operate automated build, test, and deployment pipelines following CI/CD and GitOps practices, running on AWS and Kubernetes
• Design and maintain data models and schemas (Avro, SQL) for our data pipelines and services, and publish them to downstream consumers via our Kafka-based distribution platform and schema registry
• Build access-layer data models in our analytics environment (e.g., Snowflake) so applications can work with the data directly, including via API
• Act as the coordination interface between the Data and Tech divisions, aligning priorities, schemas, and timelines across upstream and downstream teams

Requirements

• 3+ years of experience in analytics engineering, data engineering, or a related role
• Strong SQL skills and solid experience in data modeling (e.g., dimensional modeling, star schemas)
• Hands-on experience with event streaming and message distribution, ideally Kafka, including schema management with the Kafka Schema Registry (Avro, Protobuf, or JSON Schema)
• Experience designing data contracts and schemas between upstream producers and downstream consumers
• Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and modern data stack tools (e.g., dbt, CI/CD)
• Openness to AI-assisted development workflows (e.g., Claude Code or similar)
• Comfort working at the boundary of streaming/operational data and analytical data models, and building access layers that serve applications via API
• Strong attention to detail with a quality-focused and structured working style
• Interest in data governance, standards, and scalable data architecture
• Analytical mindset with strong problem-solving skills
• Excellent communication skills in English (German is a plus), with both technical and business stakeholders, combined with a solid understanding of business requirements and contexts

Core Competencies

Demonstrates expertise in backend service design and implementation using Python, with a strong focus on data modeling, analytics engineering, and cloud data warehouse technologies. Proficient in building CI/CD pipelines and managing data schemas for effective data distribution and governance.

Highest-signal resume keywords

• Python Backend Development
• SQL Data Modeling
• Kafka Event Streaming
• Cloud Data Warehousing
• CI/CD Pipeline Management

ATS Optimization Keywords

Hard Skills

• Python
• SQL
• Data Modeling
• Kafka
• Avro
• Protobuf
• JSON Schema
• Snowflake
• BigQuery
• Redshift

Soft Skills

• Attention to Detail
• Analytical Mindset
• Problem-Solving
• Excellent Communication

Industry Keywords

• Data Engineering
• Analytics Engineering
• Data Governance
• Data Architecture
• Streaming Data

Tools & Technologies

• CI/CD
• Kubernetes
• Dbt
• Kafka Schema Registry
• API Development