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# Data Scientist

- **Company:** ITech Consult
- **Location:** Zurich, KS, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Automation of Tests, Configuration Management Databases, Code Review, Continuous Integration, Data Validation, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Monitoring of Systems, Identity and Access Management, Python (Programming Language), SQL Databases, Data Streaming, Systems Integration, Enterprise Software Applications, Git, Pyspark, Git Flow, Data Analytics, Restful APIs, Software Version Control, Data Pipelines, Databricks
- **Published:** August 26, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pfdz93jw3z

## About the Role

*Strong proficiency in Python, with experience in building data-driven solutions and integrating with data sources xxxxxxxxxxx

*Proven experience designing, developing, testing and operating production-grade ETL/ELT data pipelines.

*Strong hands-on experience with Databricks or a comparable data platform.

*Strong practical experience with Python/PySpark and SQL.

*Experience integrating and reconciling data from multiple enterprise systems and REST APIs.

*Experience implementing data validation, quality checks, reconciliation, monitoring, lineage and schema evolution.

*Practical experience with Git, branching strategies, code reviews and automated testing.

*Experience with CI/CD and structured deployments across DEV, TEST and PROD environments.

*Strong root-cause analysis experience involving interfaces, pipelines and downstream processes.

*Experience working in agile, cross-functional teams.

*Strong communication skills with both technical and non-technical stakeholders.

*Fluent English (spoken and written)

Nice-to-Haves:

*Experience with ITSM, ITFM, CMDB, IAM, ERP or monitoring systems.

*Knowledge of service data, cost-transparency or IT financial management use cases.

## Description

Project: We are looking for two experienced Data Engineers to support ongoing data engineering activities within an IT Service Engineering environment. The focus is on building and maintaining reliable data pipelines, tracing data across complex enterprise systems and resolving data and integration issues. The resources will also help ensure operational continuity and effective knowledge transfer within the team.

Tasks:

*Analyse data dependencies, processes, system interactions and source-of-truth concepts.

*Identify and trace data flows across multiple source and target systems.

*Investigate issues affecting system interfaces, data pipelines and downstream processes.

*Perform root-cause analysis and drive incidents through to resolution.

*Use Databricks, Python/PySpark and SQL for data analysis, validation and inconsistency detection.

*Develop, maintain and improve production-grade ETL/ELT data pipelines.

*Implement data validation, reconciliation, monitoring and quality controls.

*Follow established version-control, deployment, change and release procedures.

*Test, validate and document delivered solutions.

*Communicate findings, risks, dependencies and progress clearly to relevant stakeholders.

*Work collaboratively within an agile, cross-functional team and take ownership of assigned tasks.


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