Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Architect

HCLTech
City of London
1 week ago
Create job alert

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion.


Responsibilities:

  • Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse.
  • Implement data transformations and build analytical data models using dbt (data build tool).
  • Develop and optimize complex SQL queries for data extraction, transformation, and loading in Snowflake.
  • Orchestrate and schedule data workflows using Apache Airflow, including developing custom Python operators and DAGs.
  • Write efficient and maintainable Python scripts for data processing, automation, and integration with various data sources and APIs.
  • Ensure data quality, integrity, and governance throughout the data lifecycle.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver data solutions.
  • Implement and maintain CI/CD pipelines for data engineering processes, including version control with Git.
  • Monitor data pipelines, troubleshoot issues, and optimize performance for efficiency and cost-effectiveness.


Qualifications:

  • Strong proficiency in SQL, particularly with Snowflake's features and functionalities.
  • Extensive experience with dbt for data modeling, transformations, testing, and documentation.
  • Solid experience with Apache Airflow for workflow orchestration and scheduling.
  • Proficiency in Python for data manipulation, scripting, and automation.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and relevant data services.
  • Understanding of data warehousing concepts, dimensional modeling, and ELT principles.
  • Familiarity with data quality, governance, and security best practices.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to work independently and collaboratively in a fast-paced environment.

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect - NHS - Erwin - Remote - Inside IR35

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.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.