Data Engineer

2 Months ago • All levels • Data Analysis

Job Summary

Job Description

In The Pocket is looking for a freelance Data Engineer to join their team. The role involves working with Google Cloud and Google BigQuery to build data pipelines and models for financial reporting and strategic decision-making. The responsibilities include managing the data warehouse, utilizing GCP services, designing data models, collaborating with stakeholders, and continuous improvement of data engineering practices. The ideal candidate should have experience with data warehousing, ETL/ELT, SQL, scripting languages, version control systems, IaC tools, and data orchestration tools. The role offers flexibility, responsibility, and the opportunity to work in a dynamic and collaborative environment.
Must have:
  • Experience as a Data Engineer, data warehousing, ETL/ELT.
  • Proficiency in Google BigQuery and GCP services.
  • Experience with scripting languages (e.g. Python).
  • Understanding of data warehousing concepts and best practices.
Good to have:
  • Experience with data orchestration tools (e.g. Airflow).
  • Experience with stream processing (e.g. Dataflow).
  • Experience with data visualization tools.
  • Knowledge of data governance and security best practices.
Perks:
  • Flexible arrangement.
  • Responsibility and ownership.
  • Work in a dynamic and collaborative environment.
  • Contribute meaningfully to an impactful project.

Job Details

Temporary Freelance - Data Engineer

In The Pocket is a leading European Digital Product Studio. We are a complete delivery organisation that defines, designs & ships digital strategies, products and platforms. We’re a lively bunch that’s up for any challenge: global cloud-based platforms, large audience apps, AI agents, medical devices, banking software, and much, much more. As long as it lives and breathes digital.

What will you do?

We are looking for an experienced Freelance Data Engineer to join our growing Data & Analytics team, which plays a central role in enabling financial reporting and strategic decision-making across the organization. Your work will directly support Finance and senior management in making faster, data-informed decisions.

You’ll work with modern tools and platforms, including Google Cloud and Google BigQuery to build reliable, scalable data pipelines and models. You will partner with finance stakeholders to turn data into actionable insights.Your main responsibilities will include:

  • Data Warehouse Management:
    • Design, develop, and maintain our data warehouse architecture in Google BigQuery.
    • Implement and optimize data pipelines for efficient data ingestion, transformation, and loading (ETL/ELT).
    • Monitor data warehouse performance and troubleshoot issues.
    • Ensure data quality, consistency, and integrity.
    • Manage data security and access controls.

  • GCP Infrastructure:
    • Utilize various GCP services (e.g. Cloud Storage, Cloud Functions, Dataflow, Pub/Sub) to build and maintain data infrastructure.
    • Automate infrastructure deployment and management using Infrastructure-as-Code (IaC) tools (e.g. Terraform).
    • Optimize GCP resource utilization and costs.
    • Implement and maintain monitoring and alerting systems for GCP services.

  • Data Modeling and Optimization:
    • Design and implement efficient data models for analytical and reporting purposes.
    • Optimize query performance and data storage.
    • Implement data partitioning, clustering, and indexing strategies.

  • Collaboration and Communication:
    • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.  
    • Document data processes, data models, and technical specifications.
    • Communicate technical concepts effectively to both technical and non-technical audiences.
    • Participate in code reviews and contribute to team best practices. 

  • Continuous Improvement:
    • Stay up-to-date with the latest BigQuery and GCP technologies and best practices.
    • Identify and implement opportunities for process and performance improvements.
    • Contribute to the development of data engineering standards and guidelines.

Who are you?

  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • Proven experience as a Data Engineer, with a focus on data warehousing and ETL/ELT.  
  • Strong proficiency in Google BigQuery, GCP services,SQL and data modeling.
  • Experience with scripting languages (e.g. Python, TypeScript, …).
  • Understanding of data warehousing concepts and best practices.
  • Experience with version control systems like Git.
  • Experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform).
  • Experience with data orchestration tools (e.g. Apache Airflow, Cloud Composer).
  • Experience with stream processing (e.g. Dataflow, Pub/Sub).
  • Experience with data visualization tools (e.g. Looker Studio, Tableau).
  • Knowledge of data governance and security best practices.
  • Experience with CI/CD pipelines.
  • Google Cloud Professional Data Engineer certification.

What do we offer you?

  • You'll join us as a freelancer with a flexible arrangement that adapts to project phases and your availability. Kickstarting in an 80% regime, but with approx overall capacity need of 50% until end of 2025
  • You’ll start  in a role with a great amount of responsibility and will become part of an exciting and impactful project with plenty of ownership and trust from day one.
  • You’ll work closely with a passionate and experienced team, in a dynamic and collaborative environment.
  • We offer flexibility in how and where you work, and the chance to contribute meaningfully to a project that truly matters.



What do we value?

Since culture is an essential part of ITP, we are looking for someone who shares our values:

Ownership: Working at In The Pocket means accepting a high level of autonomy. You take ownership and show the ability to decide and act for the good of the company

Integrity: Stick to your values, even when it doesn’t pay off in the short term. In The Pocket relies on trust and openness, which in turn relies on your integrity.

Lead & Educate: Digital technologies are changing the world. We go all in, head-first. We take the lead in designing and building with emerging technologies. We share our passion and knowledge with as many people as possible.

Agility: In The Pocket is permanently under construction. We never settle, it’s never done. Observing, adapting and improving is in our nature. That resonates with the people who work here. We are always looking for a better solution, always ready for the next step, pragmatic and committed to move forward.

Team: As individuals we are bright and talented, as a team we’re unbeatable. We are open and positive, constructive and honest. We help and inspire our colleagues to do their best work.



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