Data Engineer CGEMJP00304265
Data Engineer CGEMJP00304265

Data Engineer CGEMJP00304265

Birmingham Full-Time 60000 - 84000 £ / year (est.) No home office possible
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Experis

At a Glance

  • Tasks: Join our team as a Data Engineer, working on exciting data projects.
  • Company: Experis is a leading recruitment agency focused on business transformation.
  • Benefits: Enjoy a competitive rate, hybrid work options, and a dynamic work environment.
  • Why this job: Be part of a fast-paced team, tackling real-world data challenges and enhancing your skills.
  • Qualifications: Strong DevOps background with experience in Python, ETL pipelines, and cloud technologies required.
  • Other info: Contract role until October 2025, ideal for tech-savvy individuals ready to make an impact.

The predicted salary is between 60000 - 84000 £ per year.

Social network you want to login/join with:

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Client:

Experis

Location:

Birmingham, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

d5e752f138a1

Job Views:

5

Posted:

12.07.2025

Expiry Date:

26.08.2025

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Job Description:

Location: Birmingham Job Type: Contract Industry: Business Transformation Job reference: BBBH416595_1751901650 Posted: about 4 hours ago

Role Title: Data Engineer
Duration: contract to run until 31/10/2025
Location: Birmingham, Hybrid
Rate: up to £414 p/d Umbrella inside IR35

Key Skills/ requirements

  • Strong DevOps engineering background
  • CICD pipeline
  • Git / Github
  • Github actions / hooks
  • Jenkins
  • SonarQube
  • Linux, e.g. Redhat
  • Groovy / Bash / Python scripts
  • Nexus
  • Good understanding of Python library and application development
  • Dependency management and package management, e.g. Poetry, pip
  • Pandas and numpy
  • API, e.g. Flask, Dash
  • IDE (Pycharm, VsCode) and remote development
  • Good understanding of Data engineering
  • ETL / ELT pipeline
  • Spark
  • Airflow
  • SQL / no-SQL
  • Delta lake
  • Parquet
  • Avro
  • Partitioning
  • Starburst
  • S3 bucket
  • Postgres
  • MLFlow
  • Experience in Cloud and Containerization
  • GCP / Internal cloud
  • Docker / Kubernetes
  • Argo CD
  • Monitoring tooling, e.g. ELK
  • Service Mesh, e.g. Istio
  • Experience in secrets management, e.g. Vault
  • Good understanding of networking, security and operating system
  • TCP/IP
  • DNS
  • SSH
  • SSL/TLS
  • Encryption and tokenization
  • CPU and memory management
  • Experience of supporting Big Data infrastructure
  • Hadoop cluster
  • Spark cluster
  • JDK/JVM
  • Cloudera
  • Strong problem solving and troubleshooting skills
  • Take ownership and able to work independently
  • Able to work under high pressure and in fast-paced environment.
  • Good at documentation and knowledge sharing
  • Able to communicate and work with multi-region / multi-cultural teams
    All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
  • #J-18808-Ljbffr

    Data Engineer CGEMJP00304265 employer: Experis

    At Experis, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Located in the vibrant city of Birmingham, our team enjoys a hybrid working model, competitive rates, and ample opportunities for professional growth in the fast-evolving field of data engineering. Join us to be part of a supportive environment where your skills are valued and your career can thrive.
    Experis

    Contact Detail:

    Experis Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Data Engineer CGEMJP00304265

    ✨Tip Number 1

    Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Git, Jenkins, and Python libraries like Pandas and NumPy. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.

    ✨Tip Number 2

    Network with professionals in the data engineering field, especially those who work in similar environments or companies. Engaging with them on platforms like LinkedIn can provide insights into the role and may even lead to referrals.

    ✨Tip Number 3

    Prepare for technical interviews by practising coding challenges related to data engineering. Focus on problems involving ETL processes, SQL queries, and cloud services, as these are crucial for the role.

    ✨Tip Number 4

    Showcase your problem-solving skills by preparing examples of past projects where you successfully tackled complex data challenges. Be ready to discuss your thought process and the impact of your solutions during interviews.

    We think you need these skills to ace Data Engineer CGEMJP00304265

    DevOps Engineering
    CICD Pipeline Management
    Git / GitHub
    Jenkins
    SonarQube
    Linux (e.g. Redhat)
    Groovy / Bash / Python Scripting
    Nexus
    Python Library and Application Development
    Dependency Management (e.g. Poetry, pip)
    Pandas and NumPy
    API Development (e.g. Flask, Dash)
    IDE Proficiency (e.g. PyCharm, VSCode)
    Data Engineering Principles
    ETL / ELT Pipeline Development
    Apache Spark
    Apache Airflow
    SQL and No-SQL Databases
    Delta Lake
    Parquet and Avro Formats
    Data Partitioning Techniques
    Starburst
    S3 Bucket Management
    PostgreSQL
    MLFlow
    Cloud and Containerization Experience
    GCP / Internal Cloud
    Docker / Kubernetes
    Argo CD
    Monitoring Tooling (e.g. ELK)
    Service Mesh (e.g. Istio)
    Secrets Management (e.g. Vault)
    Networking and Security Knowledge
    TCP/IP, DNS, SSH, SSL/TLS
    Encryption and Tokenization
    CPU and Memory Management
    Big Data Infrastructure Support
    Hadoop Cluster Management
    Spark Cluster Management
    JDK/JVM Knowledge
    Cloudera Experience
    Problem Solving and Troubleshooting Skills
    Ownership and Independent Work
    Ability to Work Under Pressure
    Documentation and Knowledge Sharing
    Cross-Cultural Communication

    Some tips for your application 🫡

    Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the job description for the Data Engineer role. Focus on your DevOps background, programming languages, and any cloud or containerization experience.

    Craft a Strong Cover Letter: Write a cover letter that specifically addresses the key skills mentioned in the job description. Explain how your experience with tools like Git, Jenkins, and Python aligns with the requirements of the position.

    Showcase Your Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the impact of your work, especially in areas like ETL/ELT pipelines and big data infrastructure.

    Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a Data Engineer role.

    How to prepare for a job interview at Experis

    ✨Showcase Your Technical Skills

    Make sure to highlight your experience with the key technologies mentioned in the job description, such as Python, SQL, and cloud platforms like GCP. Be prepared to discuss specific projects where you've successfully implemented these skills.

    ✨Demonstrate Problem-Solving Abilities

    Prepare examples of how you've tackled complex problems in previous roles, especially in high-pressure situations. This will show your potential employer that you can handle the demands of a fast-paced environment.

    ✨Familiarise Yourself with DevOps Practices

    Since a strong DevOps background is essential for this role, brush up on your knowledge of CI/CD pipelines, Git, and Jenkins. Be ready to explain how you've used these tools to improve workflows in past projects.

    ✨Communicate Effectively

    Given the multi-regional and multicultural nature of the teams, practice articulating your thoughts clearly. Good communication skills are crucial, so be prepared to discuss how you've collaborated with diverse teams in the past.

    Data Engineer CGEMJP00304265
    Experis
    Location: Birmingham
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