Job Details

Sr Data Support Engineer

Job Description

We are looking for a Data Support Engineer / Senior Engineer / Lead to manage high-volume data operations involving Snowflake, data pipelines, and reporting systems.

This role focuses on monitoring, troubleshooting, and ensuring the reliability of data loads and reporting systems.


Key Responsibilities

Monitoring & Operations

  • Monitor and manage:
    • Data pipelines (Azure Data Factory – ADF)
    • Daily, weekly, and monthly data loads
  • Manage high-volume data operations (1000+ pipelines/day)

Troubleshooting & Issue Resolution

  • Troubleshoot:
    • Pipeline failures
    • Data discrepancies
    • Report mismatches due to Tableau refresh issues
  • Perform:
    • Log analysis
    • Root cause identification

Data Analysis

  • Analyse:
    • Data issues raised by business users
    • Data mismatches across systems

Reporting Support

  • Support reporting layer:
    • Monitor Tableau data refreshes
    • Validate data accuracy and consistency

Ticket & Access Management

  • Handle:
    • Data-related tickets
    • Access requests (schema/report-level access)
    • Ad hoc SQL-based reporting requests

Deployment & Collaboration

  • Assist in:
    • Deployment of data changes (scripts, schema updates)
  • Collaborate with:
    • Data engineering teams
    • Development teams for issue resolution

Continuous Improvement

  • Drive improvements in:
    • Monitoring processes
    • Pipeline standardisation
    • Logging and observability

Required Skills

Core Skills

  • Strong expertise in:
    • SQL
  • Experience with:
    • Snowflake
    • Data pipeline / ETL / scheduling tools (Azure Data Factory or equivalent)
    • Python (for data processing and automation)

Behavioural Expectations

  • Strong analytical and troubleshooting skills
  • Ability to handle high-volume, time-sensitive operations
  • Ownership of critical, business-impacting data issues

Work Environment

  • Shift-based operations (aligned with data processing cycles)
  • Early morning critical processing windows
  • High-pressure environment during month-end processing

Good to Have

Awareness of business data context

Exposure to:

Automation and monitoring optimisation

Tableau (admin/monitoring level)

Basic understanding of:

Data modelling concepts

Financial / banking domain data systems

Thank you for your interest in this role. Please also share your CV at Vedika@lsarecruit.co.uk and if suitable, we will get in touch with you to discuss further.

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