Infoplus Technologies UK Limited
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 5-10 years of experience, focusing on ETL/ELT pipeline design and data analysis. The contract is hybrid, offering a competitive pay rate. Key skills include SQL, Python, and data warehousing expertise.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 2, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Warwick, England, United Kingdom
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🧠 - Skills detailed
#Compliance #Data Manipulation #Apache Airflow #Data Analysis #Scala #Data Warehouse #DevOps #Python #Redshift #SQL (Structured Query Language) #ADF (Azure Data Factory) #Looker #Data Governance #Data Engineering #AWS (Amazon Web Services) #Pandas #Tableau #Airflow #Version Control #Data Pipeline #Azure #Data Science #BigQuery #Cloud #Visualization #Computer Science #BI (Business Intelligence) #ML (Machine Learning) #Data Quality #GCP (Google Cloud Platform) #Datasets #Microsoft Power BI #Azure Data Factory #Snowflake #Databases #"ETL (Extract #Transform #Load)" #Libraries #GIT
Role description
We are seeking a versatile and detail-oriented Data Engineer & Data Analyst to join our data team. This hybrid role involves designing and maintaining data pipelines, ensuring data quality, and performing in-depth analysis to support business decision-making. The ideal candidate will have strong technical skills in data engineering and a keen analytical mindset to extract actionable insights.
Data Engineering:
• Design, build, and maintain scalable ETL/ELT pipelines using tools like Apache Airflow, Azure Data Factory, or similar.
• Develop and optimize data models and data warehouses (e.g., Snowflake, Redshift, BigQuery).
• Work with structured and unstructured data from various sources (APIs, databases, flat files).
• Ensure data quality, integrity, and governance across systems.
• Collaborate with DevOps and cloud teams to manage data infrastructure (AWS, Azure, GCP).
Data Analysis:
• Analyze large datasets to identify trends, patterns, and insights.
• Create dashboards and reports using tools like Power BI, Tableau, or Looker.
• Work closely with business stakeholders to understand requirements and deliver data-driven solutions.
• Perform ad hoc analysis to support strategic initiatives.
• Communicate findings clearly through visualizations and presentations.
Required Skills & Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 5 to 10 years of experience in data engineering and/or data analysis roles.
• Proficiency in SQL, Python, and data manipulation libraries (e.g., Pandas).
• Experience with data pipeline tools, cloud platforms, and data warehousing.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
Preferred Qualifications:
• Experience with machine learning or predictive analytics.
• Familiarity with CI/CD pipelines and version control (Git).
• Knowledge of data governance, privacy, and compliance standards.
• Certification in cloud platforms (AWS, Azure, GCP) is a plus.
We are seeking a versatile and detail-oriented Data Engineer & Data Analyst to join our data team. This hybrid role involves designing and maintaining data pipelines, ensuring data quality, and performing in-depth analysis to support business decision-making. The ideal candidate will have strong technical skills in data engineering and a keen analytical mindset to extract actionable insights.
Data Engineering:
• Design, build, and maintain scalable ETL/ELT pipelines using tools like Apache Airflow, Azure Data Factory, or similar.
• Develop and optimize data models and data warehouses (e.g., Snowflake, Redshift, BigQuery).
• Work with structured and unstructured data from various sources (APIs, databases, flat files).
• Ensure data quality, integrity, and governance across systems.
• Collaborate with DevOps and cloud teams to manage data infrastructure (AWS, Azure, GCP).
Data Analysis:
• Analyze large datasets to identify trends, patterns, and insights.
• Create dashboards and reports using tools like Power BI, Tableau, or Looker.
• Work closely with business stakeholders to understand requirements and deliver data-driven solutions.
• Perform ad hoc analysis to support strategic initiatives.
• Communicate findings clearly through visualizations and presentations.
Required Skills & Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 5 to 10 years of experience in data engineering and/or data analysis roles.
• Proficiency in SQL, Python, and data manipulation libraries (e.g., Pandas).
• Experience with data pipeline tools, cloud platforms, and data warehousing.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
Preferred Qualifications:
• Experience with machine learning or predictive analytics.
• Familiarity with CI/CD pipelines and version control (Git).
• Knowledge of data governance, privacy, and compliance standards.
• Certification in cloud platforms (AWS, Azure, GCP) is a plus.
