Job Summary
We’re looking for a versatile and motivated Data Engineer to join our data and engineering team. In this role, you’ll be responsible for designing, building, and optimizing scalable data systems that empower analytics, operations, and decision-making across the organization. You’ll work with a variety of technologies and collaborate cross-functionally to ensure data integrity, accessibility, and reliability.
This position is ideal for those passionate about building the backbone of data-driven products and strategies, with opportunities to grow from hands-on implementation to high-level architecture and leadership.
What You’ll Do
- Develop, maintain, and optimize data pipelines and workflows.
- Build integrations from internal and external data sources (APIs, databases, file systems).
- Model data for analytics, dashboards, and operational use cases.
- Monitor and improve data quality, observability, and performance.
- Collaborate with analysts, engineers, and product teams to meet data needs.
- Contribute to the evolution of our data platform, tools, and infrastructure.
Experience Levels Accepted
We are hiring across all experience levels:
| Seniority Level | Years of Experience | Expected Focus & Contribution |
|---|---|---|
| Junior | ~1–3 | Build and maintain foundational ETL/ELT workflows and support data engineering tasks with guidance. |
| Mid | ~2–5 | Own medium-complexity data pipelines, optimize existing systems, and ensure reliable data flows. |
| Senior | ~5–8 | Lead major data engineering initiatives, enhance data infrastructure, and mentor junior engineers. |
| Staff | ~8–12 | Architect scalable data platforms, standardize engineering practices, and drive cross-team execution. |
| Sr. Staff | ~12–18 | Shape organization-wide data engineering strategy, lead high-impact platform improvements, and elevate system scalability. |
| Principal | 20+ | Define long-term data platform vision, guide enterprise architecture decisions, and influence engineering strategy at the highest level. |
Note: Final title, compensation, client, and scope of responsibilities will be defined and aligned with the candidate’s experience level and capabilities.
Tools & Technologies
- Languages: SQL, Python, Scala, Bash
- ETL: Azure Data Factory, GCP Dataflow, AWS Glue, Fivetran, dbt, etc.
- Orchestration: Apache Airflow, Apache NiFi, Dagster, Prefect, etc.
- Warehousing: Snowflake, Databricks, AWS Redshift, GCP BigQuery, etc.
- Big Data: Apache Spark, Kafka, Kinesis, Flink, Beam
- Data Modeling: STAR/Snowflake, Great Expectations, Atlas, etc.
- Cloud Platforms: AWS, GCP, or Azure
- DevOps: Docker, Terraform, GitHub Actions, etc.
At Analytics 4 Retail, we are committed to building a diverse and inclusive workplace. We welcome applicants of all backgrounds and experiences, regardless of age, gender identity, sexual orientation, race, ethnicity, religion, disability status, or veteran status. We believe diverse perspectives drive innovation and better decision-making. We also value your privacy — all applications are treated with strict confidentiality and will be used solely for recruitment purposes in accordance with applicable data protection laws.
To apply, please send your resume directly to careers@analytics4retail.com
To apply for this job email your details to careers@analytics4retail.com