Contract Data Engineer (Remote)

Contract Data Engineer
Location: UK remoteDepartment: EngineeringContract role

About YLD:
Everything we do is to empower our clients to move forward. Great technology companies are built on incredible design, engineering and strategy, working in unison, operating at the very heart of an organisation and its audience. Enabling organisations to become great technology companies is our mission, and our promise to our clients. We aim to leave them with the mindset, tools, skills and expertise they need to go beyond their own expectations, revolutionise their sectors, and for us to be proud of the change we create with them and their customers.
Our Mission:
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 a variety of 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 taking into account 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 Kafka, Spark, AWS Kinesis, AWS Lambda, Apache Airflow (or similar)
• Advanced knowledge of git including rebase, squash, and blame
• Deep understanding of Software Design Patterns, System Architecture and Microservices
• Experience working with time series data (experience with PostgreSQL & TimescaleDb is a plus)
• Fine-tuning system performance (e.g. data models design, TLS/SSL termination, edge service models)
• Experience with end-to-end monitoring & alerting experience (Cloudwatch, Datadog, etc)
• Deep understanding of HTTP(S)/{2,3} including cache-control, HTTP response codes, with context for modern data pipelines.

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 in a simple fashion

What you’ll get in return:

• The chance to work with a forward thinking, ethical, and fun group of people and to develop and grow your skills in a fast moving business

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30/45 mins)
• Technical Interview with someone from our Data team (1h30)

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 on the basis of race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. We also believe in work-life balance and offer flexible working around our core hours.