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, from Intern to Head of Data Engineering:
| Seniority Level | Years of Experience | Expected Focus & Contribution |
| Intern | 0–1 years | Support data tasks and pipelines while learning best practices. |
| Junior | 1–3 years | Build and maintain basic ETL workflows; collaborate with guidance. |
| Mid-Level | 2–5 years | Own medium-complexity pipelines and optimize existing systems. |
| Senior | 4–8 years | Lead key projects, improve data infrastructure, mentor junior talent. |
| Lead | 7–12 years | Architect systems, lead initiatives, drive cross-functional execution. |
| Staff | 10–15 years | Set technical strategy, ensure scalability, and influence engineering org-wide. |
| Head of Data Engineering | 15+ years | Define org vision, strategy, and structure; align data initiatives with business goals. |
Note: Final title, compensation, and scope of responsibilities will be aligned with the candidate’s experience level and capabilities.
Tools & Technologies
- SQL, Python, Scala
- Apache Airflow, dbt, Spark, Kafka
- AWS (S3, Glue, Redshift), GCP (BigQuery, Dataflow)
- Snowflake, Delta Lake, PostgreSQL
- Docker, Terraform, GitHub Actions
- Great Expectations, DataHub
- Datadog, Prometheus
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.
If you prefer not to fill out the online form or encounter any issues, you can also apply by sending your resume directly to careers@analytics4retail.com.
To apply for this job please visit analytics4retail.com.