Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Engineer

TieTalent
London
3 days ago
Create job alert
Overview

Lead Data Engineer - M&A Data Integration at TieTalent. Fully Remote. £550-£600 outside IR35.

About The Role

We are seeking an experienced Lead Data Engineer to play a critical role in integrating data assets following a major acquisition. The acquired company operates across 20+ enterprise application systems, and this role will lead the extraction, transformation, and migration of that data into the parent company's environment.

Responsibilities
  • Lead the design and execution of large-scale data migrations from acquired companies into the Azure ecosystem.
  • Own the end-to-end ETL/ELT pipeline strategy, ensuring scalability, resilience, and automation.
  • Partner with business, IT, and integration teams to map legacy enterprise applications (ERP, CRM, HRIS, Finance, industry-specific platforms) into standardized data models.
  • Drive data harmonization, deduplication, and master data management (MDM) to enable a single source of truth.
  • Establish and enforce data governance, lineage, and quality frameworks across acquired datasets.
  • Leverage Azure-native services such as Azure Data Factory, Synapse Analytics, Databricks, Data Lake, and Purview to build modern, cloud-first data pipelines.
  • Act as a point of escalation for data integration issues and ensure rapid resolution in a fast-paced environment.
Qualifications
  • 8+ years of experience in data engineering, including leading enterprise-scale migrations.
  • Proven track record in Azure cloud data services (ADF, Synapse, Databricks, Data Lake, Purview, Event Hubs, Functions).
  • Strong proficiency in SQL and Python.
  • Experience integrating 20+ enterprise systems such as SAP, Oracle, Dynamics 365, Salesforce, Workday, or ServiceNow.
  • Deep understanding of ETL/ELT frameworks, data warehousing, and streaming architectures.
  • Hands-on experience with data governance, compliance, and security (GDPR, HIPAA, SOX).
  • Exceptional ability to communicate with business leaders, architects, and technical teams.
  • Prior experience in M&A integration projects would be desirable. Experience working in high-growth, fast-paced environments where priorities shift quickly is essential.
  • We’re looking for someone who can start quickly — so a maximum of a 2 week notice period is essential.

Notes: Referrals increase your chances of interviewing at TieTalent.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer - Reigate

Lead Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.