Senior Data Architect

4 weeks ago

United Kingdom Ocho Full time
Senior Data Engineer

We are seeking a highly skilled and motivated Senior Data Engineer to join our team at Ocho. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining robust data pipelines using ETL processes and Snowflake.

Key Responsibilities:
  • Design and Develop Data Pipelines: Architect, build, and maintain scalable ETL data pipelines to efficiently process large volumes of data from various sources.
  • Snowflake Development: Implement, configure, and optimise data solutions using Snowflake, ensuring data quality, integrity, and performance.
  • ETL Processes: Develop and optimise ETL workflows to ensure smooth extraction, transformation, and loading of data.
  • Collaboration: Work closely with business analysts, data scientists, and stakeholders to understand data requirements and translate them into scalable solutions.
  • Data Integration: Integrate data from multiple sources, ensuring consistency and accessibility for reporting, analysis, and business use cases.
  • Automation: Automate recurring data tasks and processes to improve operational efficiency.
  • Data Governance: Ensure data security, compliance, and governance standards are met.
  • Monitoring and Optimisation: Proactively monitor and troubleshoot performance issues in the data pipelines, continuously optimising for speed and efficiency.
  • Documentation: Maintain clear documentation of data pipelines, processes, and workflows.
Requirements:
  • Experience: Minimum of 5 years of experience in data engineering roles with a strong background in ETL processes.
  • Technical Expertise: Proven experience with Snowflake, including data modelling, performance tuning, and query optimisation.
  • Programming Skills: Proficient in SQL and at least one scripting language (Python, Java, or Scala).
  • ETL Tools: Experience with modern ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica).
  • Cloud Platforms: Experience working with cloud-based data warehouses (AWS, Azure, or GCP) is desirable.
  • Data Warehousing: Strong understanding of data warehousing concepts, including data lakes, star/snowflake schemas, and relational databases.
  • Problem-solving: Analytical thinker with a solution-oriented approach to complex data challenges.
  • Communication: Strong interpersonal and communication skills, with the ability to explain technical concepts to non-technical stakeholders.
What We Offer:
  • Competitive salary up to £70,000 per annum.
  • Hybrid working model.
  • Opportunity to work with a leading organisation in the data industry with the best brands in the world.
  • Professional development opportunities and career growth.
  • Private healthcare, pension, and other employee benefits.

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