Chicago, IL, United States · 2d ago
Contract Senior Data Engineer
YLD · posted yesterdayFresh: apply early
Open to candidates in Austria, Belgium and 25 more
Austria, Belgium, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden
Senior
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What this job asks for
Extracted by RemoteHuntMust have
- •Python code
- •Modern data pipelines (dbt, Kafka, Spark, Airflow)
- •Data Modelling patterns
- •Complex SQL
- •Monitoring & alerting
Tools and technologies
Python, dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, Apache Airflow, SQL, CloudWatch, Datadog
Worth checking before you apply
- B2B Contract
Read the full posting
Location: European Union (Remote)
Department: Engineering
Employment: B2B Contract
Duration: 3 Months (to start with)
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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