Data Engineer

Contango; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A data engineering consulting firm in Abu Dhabi is seeking a Data Engineer to develop data platforms and pipelines within a Databricks on Azure environment. The ideal candidate will have strong experience in Databricks and Python, coupled with cloud data engineering skills. This role offers the opportunity to work closely with cross-functional teams in a collaborative environment that fosters continuous learning and Agile practices.

Qualifications

• 5-8 years of experience, with minimum 3-4 years in cloud/data engineering.
• 1-2 years of hands-on experience with Databricks/Azure.
• Leadership experience in team or project setting.

Responsibilities

• Deliver data platforms, pipelines, and ML enablement.
• Build scalable data solutions in Azure environment.
• Collaborate with Data Scientists and Product Managers.

Skills

Data Engineering

Databricks

Python

Azure

SQL

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Git

Terraform

Job description

About the Role

We are seeking a motivated and technically versatileData Engineer to join our team. You will play a key role in delivering data platforms, pipelines, and ML enablement within a Databricks on Azure environment.

As part of a stream-aligned delivery team, you’ll work closely with Data Scientists, Architects, and Product Managers to build scalable, high-quality data solutions for clients. You'll be empowered by a collaborative environment that values continuous learning, Agile best practices, and technical excellence.

Ideal candidates have strong hands-on experience in Databricks, Python, ADF and are comfortable in fast-paced, client-facing consultingengagements.

Skills and Experience requirements

1. Technical

• Databricks (or similar) e.g. Notebooks (Python, SQL), Delta Lake, job scheduling, clusters, and workspace management, Unity Catalog, access control awareness
• Cloud data engineering – ideally Azure, including storage (e.g., ADLS, S3, ADLS), compute, and secrets management
• Development languages such as Python, SQL, C#, javascript etc. especially data ingestion, cleaning, and transformation
• ETL / ELT – including structured logging, error handling, reprocessing strategies, APIs, flat files, databases, message queues, event streaming, event sourcing etc.
• Automated testing (ideally TDD), pairing/mobbing. Trunk Based Development, Continuous Deployment and Infrastructure-as-Code (Terraform)
  
• Git and CI/CD for notebooks, data pipelines, and deployments

2. Integration & Data Handling

• Experienced in delivering platforms for clients – including file transfer, APIS (REST etc.), SQL/NoSQL/graph databases, JSON, CSV, XML, Parquet etc
  
• Data validation and profiling - assess incoming data quality. Cope with schema drift, deduplication, and reconciliation
  
• Testing and monitoring pipelines: Unit tests for transformations, data checks, and pipeline observability

3. WorkingStyle

• Comfortable leveraging the best of lean, agile and waterfall approaches. Can contribute to planning, estimation, and documentation, but also collaborative daily re-prioritisation
• Able to explain technical decisions to teammates or clients
• Documents decisions and keeps stakeholders informed
• Comfortable seeking support from other teams for Product, Databricks, Data architecture
• Happy to collaborate with Data Science team on complex subsystems

Nice-to-haves

• MLflow or light MLOps experience (for the data science touchpoints)
• Dbt / dagster / airflow or similar transformation tools
• Understanding of security and compliance (esp. around client data)
• Past experience in consulting or client-facing roles

Candidate Requirements

• 5–8 years (minimum 3–4 years hands-on with cloud/data engineering, 1–2 years in Databricks/Azure, and team/project leadership exposure)
• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Data Engineering

Disclaimer:

This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.