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Contract Data Engineer

Roles & Responsibilities

  • Proven experience writing highly maintainable, performant Python code.
  • Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow (or similar).
  • Deep knowledge of SQL, including Common Table Expressions (CTEs) and window functions, with performance-focused optimization.
  • Experience with end-to-end monitoring and alerting (CloudWatch, Datadog, etc.).

Requirements:

  • Build core data platform infrastructure (pipelines, APIs, data modeling) as part of the client's data platform team.
  • Instrument systems for performance and implement secure authentication patterns to serve data offerings to internal and external stakeholders.
  • Choose and implement technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption.
  • Coach and mentor other engineers to grow their technical expertise and uphold quality standards.

Job description

Location: European Union (Remote)

Department: Engineering

Employment: B2B Contract 

Duration: 6 Months 

About YLD:

Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto.

About the role:

As a Data Engineer in this role, you will be responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team. Your work will include instrumenting systems for performance, and enhancement throughout. You will work on ensuring these data offerings are to various internal & external stakeholders using secure authentication patterns.

Your role will include choosing and implementing the appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption while considering the unique domain knowledge of the client's business. As a senior collaborator on the team, you will coach & mentor other engineers to support the growth of their technical expertise.

Technical competencies:

  • Proven experience writing highly maintainable, performant Python code;
  • Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow (or similar);
  • Understanding of Data Modelling patterns;
  • Deep knowledge of complex SQL, with emphasis on Common Table Expressions, window functions, and their performance;
  • Experience with end-to-end monitoring & alerting experience (CloudWatch, Datadog, etc.).

Non-Technical competencies:

  • Problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;
  • Comfortable working in a dynamic production environment and taking care of client expectations effectively;
  • Distinct customer focus and quality mindset;
  • Experience working closely with engineering leadership and architects to deliver high-quality solutions;
  • Experience maintaining a high degree of ownership and transparency in deliverables;
  • An exemplar of YLD’s brand and safe-guarder of our reputation;
  • Exceptional communication skills, able to communicate complex ideas simply

Our typical Recruitment Process looks like this:

  • 1st Interview with someone from the Talent team (30/45 mins)
  • Technical Interview with our Senior Developers (1h30)
  • Call with the Client Partner (30 mins)

We live and breathe our values, and know you will too:

  • Growing every day
  • Including everyone
  • Relationships built on honesty and ethics
  • Inspiring solutions
  • Winning together

We’re an equal-opportunity employer and value diversity of all kinds. We don’t discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. Likewise, we also offer a remote-first working environment, meaning that flexible working and work-life balance come as standard for all employees.

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