£575 Per day
Outside
Remote
United Kingdom
Summary: We are looking for three Senior Data Engineers to support a Databricks Platform Buildout project, which involves reviewing and preparing the group-level Databricks platform for replication across country-level platforms. The role requires hands-on experience with Databricks and participation in the rollout and replication phases. Candidates should have a strong background in data engineering and consulting, with specific expertise in relevant technologies. This position is fully remote and classified as outside IR35.
Key Responsibilities:
- Review group-level Databricks platform foundations for readiness.
- Participate in the rollout and replication phase across country-level platforms.
- Deliver projects with hands-on experience in Databricks.
- Collaborate with teams to ensure successful implementation of data solutions.
Key Skills:
- 4+ Years Data Engineering Experience.
- 5+ years of consulting experience.
- Minimum 2-3 projects delivered with hands-on experience in Databricks.
- Experience in Spark and/or Hadoop.
- Familiarity with Databricks multi-hop pipeline architecture.
- Strong Databricks knowledge (PySpark, SQL, Delta Lake, Unity Catalog).
- Proficiency in Python and SQL.
- Experience with ETL/ELT development and data pipeline orchestration.
- Knowledge of Github for version control.
- Experience with CI/CD tools (Azure DevOps/Terraform/Bicep).
Salary (Rate): £575 daily
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Detailed Description From Employer:
Databricks Platform Buildout
Senior Data Engineer
Outside IR35
Fully Remote
£500 - £575 per day
Overview & Objective
We are seeking 3x Senior Data Engineers for a Databricks Platform Buildout
project which is part of a bigger engagement.
The main project focus is to review the group-level Databricks platform foundations to confirm readiness for replication and then rollout across country-level platforms. These Engineers will participate in the rollout and replication phase.
Requirements
- 4+ Years Data Engineering Experience,
- 5+ years of consulting experience
- Minimum 2-3 projects delivered with hands-on experience in Databricks
- Experience in Spark and/or Hadoop,
- Familiarity with Databricks multi-hop pipeline architecture
Technical Stack and Required Capabilities
- Python, SQL
- Strong Databricks knowledge (PySpark, SQL, Delta Lake, Unity Catalog)
- Azure
- ETL/ELT development and data pipeline orchestration (eg, Databricks Workflows, DLT, Airflow, ADF, Glue, and Step Functions.)
- Github (creating branches, pull requests, reviewing PRs, solving merge conflicts)
- Apache Spark
- CI/CD (Azure DevOps/Terraform/Bicep