Data engineering is at the heart of every data‑driven organization, and mastering platforms like Dataiku and Azure can set you apart. Companies are racing to build scalable pipelines that turn raw data into actionable insights, making senior roles highly coveted. This 12‑month contract offers a chance to lead architecture on cutting‑edge tech while enjoying remote flexibility.

Job Summary

We are looking for a seasoned Data Engineer/Architect to design, build, and govern enterprise‑wide data pipelines using Dataiku DSS and the Azure data stack (ADF, Synapse, Azure SQL, Data Lake). The role involves hands‑on development in Python and SQL, creating robust ETL/ELT processes, implementing data models, and ensuring data governance and API integrations across the organization.

Top 3 Critical Skills Table

Interview Preparation

1. How have you used Dataiku DSS to design end‑to‑end data pipelines?
   What the interviewer is looking for: Ability to explain project lifecycle in Dataiku, from data ingestion to model deployment, and familiarity with recipes, plugins, and automation.
2. Describe a complex Azure Data Factory workflow you built and the challenges you overcame.
   What the interviewer is looking for: Depth of experience with ADF activities, parameterization, error handling, and integration with Synapse/Data Lake.
3. Explain the differences between ETL and ELT and when you would choose each in Azure.
   What the interviewer is looking for: Understanding of compute vs. storage trade‑offs, and practical examples of leveraging Azure Synapse for ELT.
4. What data governance practices have you implemented for enterprise pipelines?
   What the interviewer is looking for: Knowledge of data lineage, cataloging, access controls, and compliance (e.g., GDPR, HIPAA) within Azure and Dataiku.
5. Walk us through a data modeling scenario you designed for a large data lake.
   What the interviewer is looking for: Ability to translate business requirements into dimensional or lake‑house schemas, handling schema evolution, and performance optimization.

Resume Optimization

• Dataiku DSS
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Azure SQL Database
• Azure Data Lake Storage
• Python
• SQL
• ETL/ELT pipelines
• Data Modeling
• Data Governance

Application Strategy

When reaching out to the recruiter, send a concise email that starts with a friendly greeting, attaches your latest resume, and clearly highlights your top relevant skills. Mention specific experiences such as building Azure Data Factory pipelines, leading Dataiku projects, and implementing data governance frameworks. Align your achievements with the job requirements and include a brief sentence about a recent project that showcases your expertise in Python‑based ETL and Azure data architecture.

Career Roadmap