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About the Role

We are seeking a professional to join us immediately at one of our German locations. This role involves conceptualizing and building Big Data / Analytics / AI platforms, including DevOps workflows, IaC, CI/CD, IAM, and Monitoring & Alerting. You will also design, develop, and scale data pipelines on various cloud architectures, incorporating data quality measures and data models. Operationalizing statistical and AI models, and providing them for productive use or automation are key responsibilities. Additionally, you will advise clients on technology stacks, lead engineering projects, and mentor a development team. Building Data Engineering expertise within the company through training and internal projects is also expected.

Responsibilities

Conceptualization and setup of Big Data / Analytics / AI platforms, including DevOps workflows, IaC, CI/CD, IAM, and Monitoring & Alerting
Conceptualization, development, and scaling of data pipelines on various cloud architectures, including data quality measures and the design and implementation of data models
Operationalization of statistical and AI models and results from Data Scientists for productive use or automation
Selection and advising clients on the pros and cons of different technology stacks, tailored to use cases and the company environment
Taking a leading role in client communication and managing engineering projects with technical responsibility for a development team and project outcomes
Building Data Engineering expertise within the company through internal training, leading internal projects, and active participation in the Engineering Community

Requirements

Successfully completed degree in Computer Science, Data Engineering, or a related mathematical/scientific field, or a comparable qualification
Strong communication skills (fluent) in German and English
Willingness to travel as part of a consulting role
Minimum 6 years of full-time professional experience as a Data Engineer in the conception & implementation of data platforms and data management processes, or in a similar professional field
Minimum 5 years of practical application of common programming languages such as Python, Scala, SQL, and developer tools like GIT
Minimum 4 years of implementation experience with Big Data technologies, particularly Spark / Kafka, distributed storage systems, OpenTable formats, and cluster computing
Minimum 4 years of experience with various cloud components (Object Storage, Databases, Message Services, ETL / ELT Engines, Security, Scheduling, Operations, Monitoring, etc.) in AWS / Azure / GCP
Experience with at least one of the following technologies: Databricks / Snowflake / AWS Sagemaker / Azure Synapse / similar Data Analytics platforms
Experience with IaC tools such as Terraform, AWS CDK, or similar, as well as common CI/CD processes and tools
Nice to have: Experience with UNIX systems and network configuration

Skills

Big Data
Analytics
AI
DevOps workflows
IaC
CI/CD
IAM
Monitoring & Alerting
Data Pipelines
Cloud Architectures
Data Quality
Data Modeling
Statistical Models
AI Models
Python
Scala
SQL
GIT
Spark
Kafka
Distributed Storage Systems
OpenTable Formats
Cluster Computing
AWS
Azure
GCP
Databricks
Snowflake
AWS Sagemaker
Azure Synapse
Terraform
AWS CDK
UNIX Systems
Network Configuration

Location

Munich
Nuremberg
Essen
Leipzig
Berlin
Frankfurt am Main
Remote

Work Type

Full-time
Remote
Hybrid

Experience Level

Minimum 6 years of full-time professional experience as a Data Engineer
Minimum 5 years of practical application of common programming languages
Minimum 4 years of implementation experience with BigData technologies
Minimum 4 years of experience with various Cloud components

Education Level

Degree in Computer Science, Data Engineering, or a related mathematical/scientific field, or a comparable qualification

Benefits

Trust-based working hours with flexible scheduling
Workation - possibility to work from EU countries
Unique team atmosphere
Flat hierarchies
Open feedback culture
Annual team workshops
Buddy program
Regular social and leisure events
Dog-friendly offices
Intensive onboarding and integration process
Personal development plan and individual training opportunities
Diverse workshop and training offerings within the Data.Academy
Leadership, project management, and expert career paths
Childcare subsidy
Company pension plan with 20% subsidy
Numerous corporate benefits & employee offers
Starting credit in our internal merchandise shop
Competitive salary with variable components
Mental Health & Wellbeing Support, coaching, and meditation
Fitness and yoga rooms
Regular employee surveys
EGYM Well Pass membership with Plus1 option
Jobrad bicycle leasing after the probationary period
Internal groups for sports activities
Free hot and refreshing drinks, and fresh fruit in the office
Rooftop terrace (grill)
Subsidy for the Deutschlandticket
Centrally located offices
Good public transport connections

About the Company

Alexander Thamm GmbH is one of the leading providers of Data Science and Artificial Intelligence in the German-speaking region.
The company generates real added value for and with its customers from data, ensuring their competitiveness in the future.
Alexander Thamm GmbH develops and implements data-driven innovations and business models.
The service portfolio covers the entire Data Journey – from data strategy and algorithm development to the construction of IT architectures, including maintenance and operation.
Visit us on Facebook, Instagram, LinkedIn, or Stackoverflow to learn more and look behind the scenes.