Data Engineer
il y a 16 heures
Liverpool
Data Engineer – UK (Remote or Hybrid) HD-Tech are happy to be partnering with a leading global data consultancy to recruit a talented Data Engineer for their UK team. Do you enjoy solving complex data puzzles, transforming messy information into clarity, and building systems that just work? Are you someone who loves discussing data pipelines, cloud platforms, and automation—but also values collaboration, curiosity, and doing great work alongside great people? If so, this could be the perfect opportunity for you. This consultancy helps organisations turn data into something powerful, useful, and impactful. As a Data Engineer, you’ll play a central role in designing and building scalable, modern data systems that empower better decision-making. You’ll collaborate with analysts and consultants to unify disparate data sources, create reliable pipelines, and lay the foundations for analytics, AI, and machine learning. If you’re looking for a role that combines technical challenge, autonomy, and a positive team culture—this is it. Key Responsibilities • Design and develop modern, scalable data pipelines to support analytics and business intelligence initiatives., • Build and automate cloud-native data infrastructure that enables advanced analytics, AI, and ML., • Integrate and transform data from a variety of sources including SQL databases, APIs, and cloud storage., • Develop and maintain ETL/ELT processes and frameworks to ensure performance and code quality., • Apply strong data modelling principles to deliver clean, well-structured data for reporting and analysis., • Collaborate with internal teams and clients to understand requirements and deliver practical, elegant solutions., • Document processes, contribute to design discussions, and share knowledge with peers., • Strong SQL skills and solid experience with ETL/ELT development (tool-based or code-based)., • Good understanding of data modelling, data quality, and governance best practices., • Familiarity with DevOps concepts and CI/CD pipelines., • Excellent communication skills—able to explain complex ideas clearly to non-technical audiences., • 5+ years of professional experience in data engineering or technical consulting., • Comfortable working in a dynamic, fast-evolving environment., • Experience with major cloud platforms such as Azure, AWS, or GCP., • Exposure to tools such as Matillion, Fivetran, dbt, or Snowflake., • Familiarity with modern data warehouse environments (e.g. BigQuery, Redshift, Databricks)., • Knowledge of Python or other scripting languages for automation., • Interest in AI and its growing role within data engineering. UK-based (Remote or Hybrid). Flexible working arrangements are available depending on your situation.