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

Apply Now

Lead Data Engineer - 8 Month FTC (London)

AND Digital
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data engineer

Lead Data Engineer - Microsoft Fabric - Hybrid - £75k

Lead Data Engineer

Lead Data Engineer - Preston

Lead Data Engineer - Preston

Lead Data Engineer - Preston

Overview

Our client is currently progressing their Analytics Data platform migration. They have a team of Analytics Engineers and Data Engineers driving the migration of a large-scale on-prem Oracle data warehouse to Google Cloud Platform (GCP) BigQuery. The team is responsible for building and maintaining analytical data models and ETL workflows to enable a modern, scalable data platform supporting analytics and data science initiatives.

Key Responsibilities
  • Collaborate with Data Engineers to support the migration of data models from Oracle to BigQuery using DBT and ELT pipelines.
  • Develop, optimise, and maintain analytical data models following the Medallion architecture within BigQuery.
  • Translate complex Oracle table structures into scalable GCP data models to support analytical use cases.
  • Work with ingestion pipelines leveraging Kafka (in batches), Dataflow, to ensure reliable data availability in BigQuery.
  • Contribute to the build-out of the analytical data warehouse, ensuring data quality and governance standards are upheld.
  • Engage with prioritised migration plans to lift and shift tables and data models, targeting 60% migration completion within the year and full migration by mid-2025.
  • Participate in code freezes and deliverables aligned with project timelines, with onboarding into Rightmove targeted for late October/early November.
Required Skills and Experience
  • Strong proficiency in SQL and data modeling best practices.
  • Hands-on experience with GCP BigQuery and cloud-based ETL/ELT workflows.
  • Practical knowledge of DBT for data transformation and modeling.
  • Experience working with data ingestion from batch/streaming sources such as Kafka and Dataflow or similar tools.
  • Prior involvement in data platform migrations, particularly transitioning from Oracle data warehouses to cloud platforms, is highly desirable.
  • Ability to work effectively in a collaborative, agile team environment focused on delivering large-scale data migration projects.
Joining AND

From the work we deliver, to the way we serve and support our people, we work hard to ensure that there's nowhere quite like AND. But joining a company is a two-way street: the fit has to work on both sides. So before you apply, here's three key things to understand about us:

  • We're built for people - like, real humans. Not 'resources' or 'staff'. That means happiness and wellbeing really do matter to us, and we hate unnecessary hierarchy and bureaucracy.
  • There's no well-trodden path ahead: AND is growing fast and forging a new trail. That's exciting, and gives us all the autonomy and opportunity we love - but bear in mind it also demands focus, patience and resilience.
  • Diversity is a priority. After all, to build great products that a wide variety of different people love to use, we need a wide variety of people to help us build them. So diversity is more than a policy or a word: it's business critical for us.


#J-18808-Ljbffr

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.