modelling practices (conceptual, logical, physical) and enterprise data management principles Hands-on experience with data modelling tools (e.g., Erwin, Sparx, PowerDesigner) and big data/cloud ecosystems (e.g., Databricks, Snowflake, Redshift, Spark) Solid grasp of data governance, metadata, and data quality frameworks Excellent stakeholder engagement skills — able to communicate complex data concepts to both technical and business audiences Bonus Points More ❯
management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver More ❯
enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We're An Award-winning Employer Reflecting How Our Employees Are At The Very Heart Of Version More ❯
skills. Strong understanding of software development methodologies. Exceptional communication and interpersonal skills. Nice to have Experience working with IoT platforms. Strong programming experience in Python and JavaScript. Familiarity with Snowflake for data warehousing and analytics. Please note that TBSCG does not provide visa sponsorship or assistance. If you would like to know more about how your personal data is used More ❯
enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We're An Award-winning Employer Reflecting How Our Employees Are At The Very Heart Of Version More ❯
enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We're An Award-winning Employer Reflecting How Our Employees Are At The Very Heart Of Version More ❯
close to the code. Perfect if you want scope for growth without going "post-technical." What you'll do Design and build modern data platforms using Databricks, Apache Spark, Snowflake, and cloud-native services (AWS, Azure, or GCP). Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources. Model and optimise data for performance … as a Senior/Lead Data Engineer in complex enterprise environments. Strong coding skills in Python (Scala or functional languages a plus). Expertise with Databricks, Apache Spark, and Snowflake (HDFS/HBase also useful). Experience integrating large, messy datasets into reliable, scalable data products. Strong understanding of data modelling, orchestration, and automation. Hands-on experience with cloud platforms More ❯
What You'll Do Lead data operations and second line support to ensure data pipelines, platforms, and integrations run reliably with full observability and proactive monitoring. Optimise performance across Snowflake and connected data platforms, driving continuous improvement and automation. Define and embed support models and operational standards for new data products and APIs. Guide a small, experienced team, fostering autonomy … supporting data platforms or pipelines in production. Understanding of data flows, models, and warehousing principles - able to diagnose issues across systems without coding. Hands-on familiarity with platforms like Snowflake, Power BI, Alteryx, and modern observability tools. Working knowledge of AWS and/or Azure and how to run data workloads efficiently. A proven ability to lead a team and More ❯
