Data Engineer

💼 Full-time🗓 2026-08-07 → 2026-09-27

Core

Design, build, and optimize data integration pipelines and cloud-based data solutions to support B2B marketing analytics and client onboarding.

Role type

Senior Data Engineer (Cloud/ETL)

Builds

Scalable ETL/ELT pipelines, data models, and cloud data architectures on Azure/Microsoft Fabric

Domain

B2B Marketing Technology / Cloud Data Engineering

Required skills

SQL (T-SQL, stored procedures), Azure Data Factory, Microsoft Fabric, Azure Databricks, PySpark, Python, Data Warehousing, Data Modeling, Pipeline Orchestration, Data Validation

Preferred skills

SSIS migration, Power BI, Customer Data Platforms (CDP), AWS/GCP knowledge

Technologies

Azure Data Factory, Microsoft Fabric, Azure Databricks, PySpark, SQL Server, Power BI

Responsibilities

Design and develop data integration solutions using Azure and Microsoft Fabric; Build and optimize ETL/ELT pipelines; Develop data transformation logic in notebooks; Support legacy modernization from SSIS to cloud; Troubleshoot data pipeline issues; Design datasets for reporting and analytics.

Seniority

Mid-Senior, hands-on IC

Sourced via greenhouse · Listed on CareerPlan, which tracks 813,000+ jobs from 20+ sources.

About Anteriad

 We are not just another B2B solution provider. We're problem solvers. We believe that data is the key to unlocking effective solutions that span a range of marketing challenges - from customer acquisition to demand generation to account-based marketing. Data is at the core of everything we do. Our team works tirelessly to create powerful solutions that drive real results for our clients. Whether it's through innovative technology or deep analysis, we're committed to finding the best path to growth for every one of our customers. 