Data Engineer- Telecom

Data Engineer- Telecom

Posted 1 week ago by Flint UK Technology Services

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Negotiable
Undetermined
Undetermined
Reading, Berkshire, UK
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Airflow Amazon Web Services (AWS) Apache Airflow Business Intelligence Reporting Business Intelligence Tools Cloud Computing Cloud Technology Data-Driven Decision-Making Data Engineering Data Processing Data Quality Data Transformation Data Warehousing Extract Transform Load (ETL) Google Cloud Platform (GCP) Management Power BI Python (Programming Language) Relational Databases SQL (Programming Language) Stakeholder Management Tableau (Business Intelligence Software) Verification And Validation

Summary: We are looking for a Data Engineer to join our team in the telecoms industry, responsible for designing, developing, and maintaining data pipelines for ETL processes. The role requires strong analytical and visualization skills to create BI reports that facilitate data-driven decision-making. The ideal candidate will collaborate with cross-functional teams and mentor junior members while ensuring data quality and consistency. This position is a 3-month rolling contract based in Reading.

Key Responsibilities:

  • Analyse and interpret telecoms datasets, integrating various data sources to generate actionable business insights.
  • Develop and maintain scalable ETL pipelines for processing large telecoms data sets using cloud platforms (eg, GCP).
  • Collaborate with cross-functional teams to gather requirements and deliver end-to-end data solutions.
  • Implement robust data quality checks and validation processes to ensure accuracy and consistency.
  • Build and deliver intuitive BI reports for business stakeholders.
  • Integrate with existing data teams, adhering to established standards and methodologies.
  • Mentor junior team members, supporting their development with technical guidance and best practices.

Key Skills:

  • Bachelor's degree in a STEM-related field.
  • Proven experience as a Data Engineer, ideally within telecoms or workforce management sectors.
  • Strong SQL skills for data querying and transformation.
  • Proficiency in Python for data processing.
  • Expertise in designing and building ETL pipelines and data solutions.
  • Experience with data modelling, data warehousing, and relational databases.
  • Familiarity with cloud platforms such as GCP or AWS.
  • Experience with BI tools (eg, Tableau, Power BI).
  • Hands-on experience with data transformation tools like Dataform or DBT.
  • Workflow orchestration experience using tools such as Composer or Airflow.
  • Excellent problem-solving, communication, and collaboration skills.
  • Self-starter with the ability to work independently in a fast-paced environment.

Salary (Rate): undetermined

City: Reading

Country: UK

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role Title: Data Engineer- Telecom
Location: Reading
Contract Duration: 3-Month Rolling Contract

Job Description:

We are seeking a skilled and motivated Data Engineer to join our dynamic team in the telecoms industry. In this role, you will design, develop, and maintain robust data pipelines that support the ETL of diverse datasets. Your analytical and visualisation skills will enable the creation of BI reporting to drive data-led decision-making across our programme.

Key Responsibilities:

  1. Analyse and interpret telecoms datasets, integrating various data sources to generate actionable business insights.

  2. Develop and maintain scalable ETL pipelines for processing large telecoms data sets using cloud platforms (eg, GCP).

  3. Collaborate with cross-functional teams to gather requirements and deliver end-to-end data solutions.

  4. Implement robust data quality checks and validation processes to ensure accuracy and consistency.

  5. Build and deliver intuitive BI reports for business stakeholders.

  6. Integrate with existing data teams, adhering to established standards and methodologies.

  7. Mentor junior team members, supporting their development with technical guidance and best practices.

Requirements:

  • Bachelor's degree in a STEM-related field.

  • Proven experience as a Data Engineer, ideally within telecoms or workforce management sectors.

  • Strong SQL skills for data querying and transformation.

  • Proficiency in Python for data processing.

  • Expertise in designing and building ETL pipelines and data solutions.

  • Experience with data modelling, data warehousing, and relational databases.

  • Familiarity with cloud platforms such as GCP or AWS.

  • Experience with BI tools (eg, Tableau, Power BI).

  • Hands-on experience with data transformation tools like Dataform or DBT.

  • Workflow orchestration experience using tools such as Composer or Airflow.

  • Excellent problem-solving, communication, and collaboration skills.

  • Self-starter with the ability to work independently in a fast-paced environment.

Preferred Qualifications:

  • Master's degree in a relevant field.

  • Certifications in cloud computing or data engineering.

  • Understanding of telecom protocols and industry standards.

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