Staff Data Analytics Engineer

essquare GmbH
Berlin, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Berlin, Germany

Tech stack

Clean Code Principles
Java
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Big Data
C++
Software Quality
Code Review
Computer Programming
Continuous Integration
Information Engineering
Data Systems
Data Warehousing
Jinja (Template Engine)
Python
Object-Oriented Software Development
Pair Programming
Software Engineering
SQL Databases
Data Streaming
Data Processing
Test Driven Development
Snowflake
Spark
AWS Lambda
Backend
Kotlin
PySpark
Data Analytics
Amazon Web Services (AWS)
Functional Programming
Terraform
Amazon Web Services (AWS)
Go

Job description

  • Technical Leadership & Architecture: Act as the principal architect for your squad. You will design horizontally scalable, cost-efficient, production-grade data solutions capable of handling TB-scale, highly dimensional datasets.
  • Engineering Excellence & TDD: Champion rigorous software engineering principles. You will lead the adoption of Test-Driven Development (TDD), CI/CD workflows, and clean code architectures. You ensure our codebase is resilient, testable, and maintainable.
  • Cross-Squad Impact: Drive technical alignment beyond your immediate team. You will act as an engineering ambassador, solving architectural issues that span multiple squads, keeping our technical processes synchronized, and aligning your squad's work with global engineering priorities.
  • Domain Mastery: Leverage your deep expertise to build high-value data products on top of location signals and audience attributes. You don't just process data; you deeply understand its geographic and time-series nature to unlock its business value.
  • Mentorship & Code Quality: Be the technical mentor for Senior, Mid, and Junior engineers. Through highly insightful code reviews, architectural feedback, and pair programming, your input will consistently be the source of others' learning and growth.
  • Data Observability: Proactively build monitoring and alerting frameworks at the infrastructure level to catch anomalies in our multi-terabyte data streams before they impact downstream products.

Requirements

Do you have experience in Test-driven development?, We are looking for an exceptional engineer who has a proven track record of acting as a technical leader and domain expert in heavy data environments.

Must-Have Skills:

  • 7+ years of experience in Data Engineering, Analytics Engineering, or Backend Development with a deep focus on massive data systems.
  • Geo-Spatial & Time-Series Expertise: Proven, hands-on experience handling massive datasets specifically involving geo-spatial (GIS) data, audience attributes, and high-frequency time-series data.
  • Advanced Software Engineering (Python): Mastery of Python beyond standard data scripting. You write highly modular, object-oriented code. You have deep, practical experience with Test-Driven Development (TDD), mocking, exception handling, and performance profiling, functional programming.
  • Architectural Vision: Deep expertise in designing scalable data architectures using both relational and horizontally scalable data warehouses/lakehouses (e.g., Snowflake, Redshift, Athena, StarRocks, Iceberg). You deeply understand query execution plans, partitioning, clustering, and cloud cost governance.
  • Big Data Frameworks: Extensive experience with large-scale data processing frameworks (e.g., Apache Spark, PySpark, AWS EMR, Glue) to handle massive throughput.
  • Expert SQL & dbt: You design scalable, robust data models (using Jinja, macros, incremental strategies) that serve as the foundation for our entire analytics layer.
  • AWS Cloud Native & IaC: Hands-on experience building architectures in AWS (e.g.: AWS Lambda, AWS Batch, Glue, StepFunctions, S3, EC2, ECS, ECR, Fargate) and deploying them using Infrastructure as Code (Terraform).
  • Leadership Skills: Superb organizational and communication skills. You can distill complex architectural trade-offs for non-technical stakeholders and drive technical consensus among your engineering peers.

Nice-to-Have Skills:

  • Polyglot Programming: Experience with a compiled or strongly typed language (e.g., Scala, Go, Kotlin, C++ or Java).
  • Advanced Orchestration: Experience defining complex dependency graphs in tools like Airflow, Dagster, or Prefect.

Benefits & conditions

On top of a competitive package…

  • We are open to flexible work models: we work on a hybrid mode and remotely
  • To encourage education and professional growth, we offer an individual yearly budget of 1.200€
  • You are entitled to 30 vacation days per year
  • We offer Urban Sports Club membership, company pension scheme
  • Regular team events and company events organised by our People team (Trust us, they know how to throw a party!)
  • We equip you with the latest hardware and provide you with all the tools you need to thrive

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