Jobs

Interim Data Engineer


Job details
  • Finatal
  • London
  • 3 weeks ago
Applications closed

Position: Interim Data Engineer

Location: Remote - UK

Industry: Financial Services


EM008


Overview:

We are seeking a highly skilled and experiencedData Engineerto join a dynamic and fast-paced private equity-backed financial services business on an interim basis. This is a key role for someone who can make an immediate impact, bringing technical expertise and strategic insight to deliver a consolidated data solution for the organisation.


Key Responsibilities:

  1. Data Integration and Consolidation
  • Design and implement asingle source of truthby pulling data from multiple sources, ensuring data accuracy, consistency, and reliability.
  • LeverageMicrosoft Fabricto develop scalable and efficient data pipelines.
  • Identify and address data quality issues across various systems and processes.
  1. Data Strategy and Execution
  • Provide bothhands-on technical solutionsandstrategic guidanceto align data initiatives with business objectives.
  • Collaborate with cross-functional teams to establish robust data management processes and frameworks.
  1. Stakeholder Management
  • Act as a bridge between technical teams and business stakeholders to ensure that data solutions meet organizational needs.
  • Translate complex technical concepts into actionable insights for non-technical stakeholders.
  • Manage expectations and communicate progress effectively with internal and external stakeholders.
  1. Technical Development and Maintenance
  • Build and maintain efficient, scalable data architecture to support business intelligence and analytics.
  • Ensure the security, integrity, and accessibility of all data pipelines and systems.


Key Requirements:

  • Experience with Microsoft Fabric: Proven expertise in designing and deploying data pipelines and architecture using Microsoft Fabric.
  • Financial Services Background: Deep understanding of the financial services industry, its data structures, and compliance requirements.
  • Data Integration Expertise: Ability to consolidate multiple data sources into a single, reliable source of truth.
  • Hands-On & Strategic: Comfortable balancing tactical data engineering tasks with long-term strategic planning.
  • Stakeholder Management Skills: Exceptional interpersonal and communication skills, with the ability to engage effectively with technical teams and senior leadership.
  • Proficiency indata modeling,ETL processes, and data visualization tools

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