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

Apply Now

Big Data Lead

FalconSmartIT
London
6 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist - Treasury Liquidity

Junior Data Scientist

Senior Data Scientist

Senior Data Science Manager - Financial Planning and Analysis

Senior Principal Data Scientist

Job TItle: Big Data Lead

Job Type: Contract

Job Location: Wimbledon , UK


Job Description:

For this role, senior experience of Data Engineering and building automated data pipelines on IBM Datastage & DB2, AWS and Databricks from source to operational databases through to curation layer is expected using the latest cloud modern technologies where experience of delivering complex pipelines will be significantly valuable to how D&G maintain and deliver world class data pipelines.

Knowledge in the following areas essential:

Data Engineering Experience:

  • Databricks:Expertise in managing and scaling Databricks environments for ETL, data science, and analytics use cases.
  • AWS Cloud:Extensive experience with AWS services such as S3, Glue, Lambda, RDS, and IAM.
  • IBM Skills:DB2, Datastage, Tivoli Workload Scheduler, Urban Code
  • Programming Languages:Proficiency in Python, SQL.
  • Data Warehousing & ETL:Experience with modern ETL frameworks and data warehousing techniques.
  • DevOps & CI/CD:Familiarity with DevOps practices for data engineering, including infrastructure-as-code (e.g., Terraform, CloudFormation), CI/CD pipelines, and monitoring (e.g., CloudWatch, Datadog).
  • Familiarity with big data technologies like Apache Spark, Hadoop, or similar.
  • Test automation skills
  • ETL/ELT tools and creating common data sets across on-prem (IBMDatastage ETL) and cloud data stores
  • Leadership & Strategy:Lead Data Engineering team(s) in designing, developing, and maintaining highly scalable and performant data infrastructures.
  • Customer Data Platform Development:Architect and manage our data platforms using IBM (legacy platform) & Databricks on AWS technologies (e.g., S3, Lambda, Glacier, Glue, EventBridge, RDS) to support real-time and batch data processing needs.
  • Data Governance & Best Practices:Implement best practices for data governance, security, and data quality across our data platform. Ensure data is well-documented, accessible, and meets compliance standards.
  • Pipeline Automation & Optimisation:Drive the automation of data pipelines and workflows to improve efficiency and reliability.
  • Team Management:Mentor and grow a team of data engineers, ensuring alignment with business goals, delivery timelines, and technical standards.
  • Cross Company Collaboration:Work closely with all levels of business stakeholder including data scientists, finance analysts, MI and cross-functional teams to ensure seamless data access and integration with various tools and systems.
  • Cloud Management:Lead efforts to integrate and scale cloud data services on AWS, optimising costs and ensuring the resilience of the platform.
  • Performance Monitoring:Establish monitoring and alerting solutions to ensure the high performance and availability of data pipelines and systems to ensure no impact to downstream consumers.

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.