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Data Engineer

Full time Data Engineering Business Intelligence Software Engineering Data Warehouse

Job Description

Job Title: Data Engineer

Location: United Kingdom (Hybrid/Remote options available)
Experience Required: 0–8 years
Employment Type: Full-time

About the Role

We are looking for passionate and analytical Data Engineers to design, develop, and maintain scalable data pipelines and systems that empower business insights and analytics. The ideal candidate will work closely with data scientists, analysts, and software engineers to ensure efficient data flow and high-quality data across the organization.

Key Responsibilities

  • Design, build, and maintain ETL/ELT pipelines to collect, process, and transform large volumes of structured and unstructured data.
  • Integrate data from various sources including APIs, databases, and third-party services.
  • Develop and optimize data models, warehouses, and lake architectures for analytics and reporting.
  • Ensure data quality, reliability, and security across all systems.
  • Work with cloud platforms such as AWS, Azure, or GCP to deploy and monitor data infrastructure.
  • Collaborate with data analysts, data scientists, and business teams to deliver accessible, high-performance datasets.
  • Implement best practices in data engineering, including version control, testing, and CI/CD for data pipelines.
  • Monitor data flows and troubleshoot pipeline or performance issues.

Skills & Qualifications Education

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or related field.

Technical Skills

  • Programming: Python, SQL, Scala, or Java.
  • Data Processing Tools: Apache Spark, Kafka, Airflow, Hadoop, or similar.
  • Database Systems: Experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases.
  • Cloud Platforms: AWS (Glue, Redshift, EMR), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).
  • Data Modeling: Star/Snowflake schemas, dimensional modeling.
  • Version Control: Git/GitHub, CI/CD workflows.
  • Containerization: Docker, Kubernetes (optional for senior roles).
  • Data Visualization (Plus): Power BI, Tableau, or Looker understanding.

Experience LevelsEntry-Level (0–2 years)

  • Exposure to SQL and Python for data manipulation.
  • Basic understanding of ETL concepts and cloud data services.
  • Willingness to learn and grow within a data team.

Mid-Level (3–5 years)

  • Hands-on experience designing and maintaining production-grade data pipelines.
  • Proficient with cloud platforms and data orchestration tools.
  • Able to optimize performance and handle large datasets efficiently.

Senior-Level (6–8 years)

  • Expertise in data architecture and distributed data systems.
  • Experience leading data projects or mentoring junior engineers.
  • Strong grasp of data governance, security, and compliance (GDPR).

Soft Skills

  • Strong problem-solving and analytical mindset.
  • Excellent communication and collaboration skills.
  • Ability to work in an agile, fast-paced environment.
  • Detail-oriented and proactive in identifying issues.

Job Types: Full-time, Permanent

Pay: £35,000.00-£50,000.00 per year

Benefits:

  • Work from home
Tek Tron IT
About Tek Tron IT
TekTron is an award-winning full-service executive search firm, direct-hire, and temporary staffing agency that provide clients with extraordinary talent for hire. In today’s competitive environment, the success of your business depends on technology, with upwardly mobile, highly trained professionals handling essential tasks. Because IT infrastructure changes frequently, contract staffing is the best solution to accessing the most up-to-date information technology experts. We are committed to building relationships with the right candidates to meet our clients’ needs, and provide our people with excellent benefits. We offer creative, customized staffing solutions, with stable, secure professionals, experienced in the latest technologies. At TekTron it is our goal to align our thinking to that of our clients. Our search strategy is informed by more than a job description—we immerse ourselves in our client’s culture to gain an understanding of management style, organizational goals and history, ideal hires and hires that were less successful. We meet with more candidates for a position than our clients ever could independently, and we constantly source passive candidates to create a pipeline of potential hires.
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