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

Apply Now

Technical Lead – Data Engineering

Winwire Technologies
Hampshire
3 weeks ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Scientist

Lead Data Engineer

Lead Data Scientist

Lead Data Engineer

Lead Data Engineer

  • 4+ years of experience in Azure Databricks with PySpark.
  • 2+ years of experience in Databricks workflow & Unity catalog.
  • 3+ years of experience in ADF (Azure Data Factory).
  • 3+ years of experience in ADLS Gen 2.
  • 3+ years of experience in Azure SQL.
  • 5+ years of experience in Azure Cloud platform.
  • 2+ years of experience in Python programming & package builds.

Job Description:

  • Strong experience in implementing secure, hierarchical namespace-based data lake storage for structured/semi-structured data, aligned to bronze-silver-gold layers with ADLS Gen2. Hands-on experience with lifecycle policies, access control (RBAC/ACLs), and folder-level security. Understanding of best practices in file partitioning, retention management, and storage performance optimization.
  • Capable of developing T-SQL queries, stored procedures, and managing metadata layers on Azure SQL.
  • Comprehensive experience working across the Azure ecosystem, including networking, security, monitoring, and cost management relevant to data engineering workloads.Understanding of VNets, Private Endpoints, Key Vaults, Managed Identities, and Azure Monitor.Exposure to DevOps tools for deployment automation (e.g., Azure DevOps, ARM/Bicep/Terraform).
  • Experience in writing modular, testable Python code used in data transformations, utility functions, and packaging reusable components.Familiarity with Python environments, dependency management (pip/Poetry/Conda), and packaging libraries.Ability to write unit tests using PyTest/unittest and integrate with CI/CD pipelines.
  • Lead solution design discussions, mentor junior engineers, and ensure adherence to coding guidelines, design patterns, and peer review processes.Able to prepare Design documents for development and guiding the team technically. Experience preparing technical design documents, HLD/LLDs, and architecture diagrams.Familiarity with code quality tools (e.g., SonarQube, pylint), and version control workflows (Git).
  • Demonstrates strong verbal and written communication, proactive stakeholder engagement, and a collaborative attitude in cross-functional teams.Ability to articulate technical concepts clearly to both technical and business audiences.Experience in working with product owners, QA, and business analysts to translate requirements into deliverables.
  • Good to have Azure Entra/AD skills and GitHub Actions.
  • Good to have orchestration experience using Airflow, Dagster, LogicApp.
  • Good to have expereince working on event-driven architectures using Kafka, Azure Event Hub.
  • Good to have exposure on Google Cloud Pub/Sub.
  • Good to have experience developing and maintaining Change Data Capture (CDC) solutions preferrably using Debezium.
  • Good to have hands-on experience on data migration projects specifically involving Azure Synapse and Databricks Lakehouse.
  • Good to have eperienced in managing cloud storage solutions on Azure Data Lake Storage . Experience with Google Cloud Storage will be an advantage.

Apply Here

Upload Resume - PDF, DOC, DOCX, and RTF file formats are supported.

Working at WinWire

Our Culture Score

AwardsMicrosoft Partner of the Year

Modernizing
Applications

Microsoft Partner of the YearMicrosoft Partner of the Year

Cloud Native
App Development

Microsoft Partner of the Year

Recognized with SDP
Preferred Partner Award


#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.

Careers Education

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.

Jobs

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.

Careers

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.

🍪 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.