LTIMindtree
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 7+ years of experience, proficient in SQL, Python, and C#. Contract length is unspecified, with a competitive pay rate. Key skills include data modelling, ETL, and familiarity with financial datasets and cloud platforms like Snowflake.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#SQL (Structured Query Language) #Data Orchestration #Data Integration #Data Engineering #Python #Airflow #"ETL (Extract #Transform #Load)" #Snowflake #Cloud #C# #Datasets
Role description
Role Skills & Experience:
• Significant experience in data engineering (7+ years at least)
• Strong proficiency in SQL, Python, and C# (including query optimisation and performance tuning).
• Experience with data modelling, ETL pipelines, and data integration.
• Proven ability to work directly with stakeholders and data users to understand problems and deliver effective solutions.
• Strong analytical and problem-solving skills with a structured, methodical approach.
• Excellent communication and collaboration abilities.
• Building or migrating to Snowflake (or other cloud-based) data platforms.
Preferred Experience:
• Familiarity with Dagster, Airflow, Prefect, or similar data orchestration tools.
• Experience managing the transition between legacy and modern data systems.
• Exposure to financial data or prior work with market data systems. Familiarity with financial datasets is particularly valuable for ongoing operations and resolving data issues.
• Experience delivering innovative and proof-of-concept work projects.
Role Skills & Experience:
• Significant experience in data engineering (7+ years at least)
• Strong proficiency in SQL, Python, and C# (including query optimisation and performance tuning).
• Experience with data modelling, ETL pipelines, and data integration.
• Proven ability to work directly with stakeholders and data users to understand problems and deliver effective solutions.
• Strong analytical and problem-solving skills with a structured, methodical approach.
• Excellent communication and collaboration abilities.
• Building or migrating to Snowflake (or other cloud-based) data platforms.
Preferred Experience:
• Familiarity with Dagster, Airflow, Prefect, or similar data orchestration tools.
• Experience managing the transition between legacy and modern data systems.
• Exposure to financial data or prior work with market data systems. Familiarity with financial datasets is particularly valuable for ongoing operations and resolving data issues.
• Experience delivering innovative and proof-of-concept work projects.
