Senior Data Engineer

Senior Data Engineer

Posted Today by Jobserve

£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