Senior Data Engineer (Databricks & CRM Integration)

Work setup:

Project start date: 10.06.2026 (TBC)

Phase 0.5: Design workshop completed ASAP after contract signing

Phase 1 (Data products live on ADP): 10.07.2026 (first major milestone)

Phase 2 (Light UI production-ready): 04.09.2026

Phase 3: Q4 2026

Extension option: Yes - likely extension based on positive outcomes

Service time/week: 5 days (100%)

Core hours: CET 08:00 - 17:00

Location: Baden/Hybrid (40% onsite/60% remote)

Language: English required; German advantage

Background:

Group Sales operates a fragmented CRM landscape across Salesforce, Microsoft Dynamics 365, and Excel/SharePoint, with no group-wide view of customers, opportunities, or interactions. The B2B Sales aggregation project aims to bring unified visibility to coordinate cross-unit engagement, govern sales at group level, and lift CRM data quality - built on the Data Platform (Databricks).

To deliver the B2B Sales Data Aggregation Hub on Databricks: ingest and harmonize CRM data (Salesforce, Dynamics 365, Excel/SharePoint) into Databricks Bronze and Silver layers using Databricks native pipelines and Delta Lake features; implement daily CDC/incremental ETL, automated data quality checks and a data quality snapshot, and deliver KPI cards for CEO/EB.

Tasks:

Lead technical implementation (Databricks-native architecture)

Design & build ETL pipelines and CDC/incremental connectors for Salesforce & D365 (and Excel/SharePoint) using Databricks patterns (Auto Loader/Structured Streaming/Jobs)

Implement Bronze - Silver transformations and reusable SQL/Notebook templates in Databricks (Delta Lake)

Develop Databricks notebooks (PySpark) and apply Delta Lake optimisations (compaction, Z-order, caching)

Build automated data-quality checks, metrics and the CEO/EB data-quality snapshot & KPI cards

Set up monitoring, alerting, job orchestration and operational runbooks (Databricks Jobs/Alerts/Observability)

Document architecture, data lineage (Unity Catalog/Delta timetravel) and handover to operations

Support UAT, performance testing and hypercare

Experience - skills/Experience are required:

5+ years data engineering Experience

3+ years Databricks + Delta Lake

Strong PySpark/Python and SQL skills

Proven Experience integrating Salesforce & Dynamics 365 (APIs, CDC, Bulk API)

Data modelling, ETL design, incremental sync/CDC approaches

Experience with Azure cloud services and Databricks workspace admin

Experience building data quality frameworks and monitoring

Good stakeholder communication; able to act as technical owner

Experience - Additional skills that would be considered as plus:

Proven CRM expertise (Salesforce, Dynamics 365)

Job Title: Senior Data Engineer

Location: Baden, Switzerland

Job Type: Contract

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