YLD

Contract Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Contract Data Engineer, lasting 6 months, with a pay rate of "rate". It is remote within the European Union. Key skills include Python, SQL, dbt, Kafka, Spark, and AWS technologies.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
March 20, 2026
πŸ•’ - Duration
More than 6 months
-
🏝️ - Location
Remote
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Kafka (Apache Kafka) #Data Access #Leadership #AWS (Amazon Web Services) #Spark (Apache Spark) #Batch #Cloud #dbt (data build tool) #SQL (Structured Query Language) #Data Pipeline #Datadog #AWS Lambda #Data Engineering #Python #Apache Airflow #AWS Kinesis #Monitoring #Airflow #Lambda (AWS Lambda)
Role 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: β€’ Proven experience writing highly maintainable, performant Python code; β€’ Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow (or similar); β€’ Understanding of Data Modelling patterns; β€’ Deep knowledge of complex SQL, with emphasis on Common Table Expressions, window functions, and their performance; β€’ Experience with end-to-end monitoring & alerting experience (CloudWatch, Datadog, etc.). Non-Technical competencies: β€’ Problem-solving skills that balance innovation with pragmatic technology choices to solve business needs; β€’ Comfortable working in a dynamic production environment and taking care of client expectations effectively; β€’ Distinct customer focus and quality mindset; β€’ Experience working closely with engineering leadership and architects to deliver high-quality solutions; β€’ Experience maintaining a high degree of ownership and transparency in deliverables; β€’ An exemplar of YLD’s brand and safe-guarder of our reputation; β€’ Exceptional communication skills, able to communicate complex ideas simply Our typical Recruitment Process looks like this: β€’ 1st Interview with someone from the Talent team (30/45 mins) β€’ Technical Interview with our Senior Developers (1h30) β€’ Call with the Client Partner (30 mins) We live and breathe our values, and know you will too: β€’ Growing every day β€’ Including everyone β€’ Relationships built on honesty and ethics β€’ Inspiring solutions β€’ 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.