Data Engineer/Data Analyst (Python & Power BI)

Data Engineer/Data Analyst (Python & Power BI)

Posted 2 weeks ago by N Consulting Global

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Negotiable
Undetermined
Undetermined
Leeds, England, United Kingdom
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Airflow Amazon Web Services (AWS) Apache Airflow Application Programming Interface (API) Cloud Computing Cloud Technology Computer Science Continuous Integration and Continuous Delivery Data Architecture Data Engineering Data Infrastructure Data Manipulation Datamodel Data Modeling Data Pipeline Data Quality Data Warehousing File Servers Google Cloud Platform (GCP) Information Systems M (Programming Language) Microsoft SQL Servers MySQL NumPy PostgreSQL Power BI Powerquery Python (Programming Language) Raw Data Relational Databases RESTful API Scripting SQL (Programming Language) Stakeholder Management Workflows

Summary: We are looking for a Data Engineer/Data Analyst with expertise in Python and Power BI to enhance our Data & Analytics team. The role involves building scalable data pipelines, transforming data into insights, and creating interactive dashboards to support business decisions. The ideal candidate will have a strong background in data engineering and analytics, with a focus on delivering high-quality data solutions. This position is contract-based and located in Leeds.

Key Responsibilities:

  • Design, develop, and maintain robust ETL/ELT pipelines using Python and SQL.
  • Integrate data from multiple sources, including databases, APIs, and cloud platforms.
  • Clean, transform, and structure large datasets for use in analytics and reporting.
  • Create and maintain advanced Power BI dashboards, reports, and data models.
  • Collaborate with stakeholders to gather data requirements and deliver high-impact insights.
  • Monitor data pipeline performance and troubleshoot issues proactively.
  • Implement data quality checks and ensure consistency, accuracy, and security.
  • Contribute to data architecture decisions and assist in modernizing data infrastructure.
  • Document data workflows, processes, and solutions.

Key Skills:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 5-7 years of experience as a Data Engineer or similar role.
  • Proficiency in Python for scripting and data manipulation (Pandas, NumPy, etc.).
  • Strong experience in developing interactive reports and dashboards in Power BI.
  • Hands-on experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL).
  • Solid understanding of data warehousing concepts and data modeling.
  • Experience with cloud platforms (Azure, AWS, or GCP) is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.

Salary (Rate): undetermined

City: Leeds

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role: Data Engineer /Data Analyst (Python & Power BI)

Location: Leeds

Duration: Contract

Job Summary: We are seeking a highly skilled and motivated Data Engineer with strong expertise in Python and Power BI to join our growing Data & Analytics team. You will be responsible for building and maintaining scalable data pipelines, transforming raw data into actionable insights, and developing interactive dashboards and reports that support business decision-making.

Key Responsibilities:

  • Design, develop, and maintain robust ETL/ELT pipelines using Python and SQL.
  • Integrate data from multiple sources, including databases, APIs, and cloud platforms.
  • Clean, transform, and structure large datasets for use in analytics and reporting.
  • Create and maintain advanced Power BI dashboards, reports, and data models.
  • Collaborate with stakeholders to gather data requirements and deliver high-impact insights.
  • Monitor data pipeline performance and troubleshoot issues proactively.
  • Implement data quality checks and ensure consistency, accuracy, and security.
  • Contribute to data architecture decisions and assist in modernizing data infrastructure.
  • Document data workflows, processes, and solutions.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 5-7 years of experience as a Data Engineer or similar role.
  • Proficiency in Python for scripting and data manipulation (Pandas, NumPy, etc.).
  • Strong experience in developing interactive reports and dashboards in Power BI.
  • Hands-on experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL).
  • Solid understanding of data warehousing concepts and data modeling.
  • Experience with cloud platforms (Azure, AWS, or GCP) is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.

Preferred Skills:

  • Experience with Power Query (M Language) and DAX in Power BI.
  • Familiarity with CI/CD pipelines for data projects.
  • Experience working in Agile/Scrum environments.
  • Knowledge of API integrations and RESTful services.
  • Experience with tools such as Airflow, dbt, or similar orchestration frameworks.

Benefits:

  • Competitive salary and performance bonuses
  • Flexible work environment (remote/hybrid)
  • Health, dental, and retirement benefits
  • Training and career development opportunities
  • Access to the latest tools and cloud technologies
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