Data Engineer
London (Hybrid)
Full Time Mid-level / Intermediate GBP 49K - 76K
Rocket Lawyer
Rocket Lawyer makes the law affordable and simple. Create and sign legal documents online, get legal advice from attorneys, incorporate your business, and more!About the Role
Rocket Lawyer is seeking an experienced, passionate data engineer for the data engineering team at Rocket Lawyer. In this role, you will build highly reliable, trust worthy data lakehouse that is leveraged across the organization to derive insights and make real-time decisions. You will be bringing your skills to drive new data projects, build reliable data pipelines, set up strong monitoring and alerting systems and build data solutions to support a diverse set of use cases.
We value a fun, collaborative, team-oriented work environment, where we celebrate our accomplishments.
Responsibilities
- Design and develop data pipelines using tools like Apache Airflow or by leveraging Snowflake's external tables functionality.
- Translate HiveQL queries to Snowflake SQL, ensuring compatibility and efficient data processing.
- Utilize dbt to model and transform data within Snowflake, adhering to best practices for data governance and maintainability.
- Configure and manage data pipelines in GCP to orchestrate data movement and processing tasks.
- Collaborate with data analysts and stakeholders to understand data requirements and ensure a successful migration outcome.
- Monitor and optimize data pipelines for performance and scalability.
- Develop and implement automated testing procedures to validate data quality and integrity after migration.
- Document the migration process and provide ongoing support for the migrated data warehouse on Snowflake.
Requirements
- 5+ years of experience as a Data Engineer with a proven track record of successful data warehouse/data lake implementation and management.
- Deep understanding of leveraging Snowflake, or similar tools, to build highly performant and resilient datawarehouse/lakehouse system.
- Strong expertise in HiveQL, SQL, and experience with data warehousing/lake house concepts (dimensional modeling, data quality, etc.).
- Strong programming knowledge in python.
- Strong understanding of data architectures and patterns.
- Experience with Apache Spark for large-scale data processing (a plus).
- Proficiency in dbt for data modeling and transformation in Snowflake preferred.
- Experience working with Google Cloud Platform (GCP) and its data storage services (GCS, BigQuery - a plus).
- Excellent written and verbal communication skills with the ability to collaborate effectively with cross-functional teams.
- Strong problem-solving skills and a passion for building efficient and scalable data solutions.
- Snowflake certification preferred.
Preferred Qualifications
- Experience in DataOps implementation and support
- Experience in MLOps implementation and support.
- Experience in building and supporting AI/ML platform.
Benefits & Perks
- 25 days holiday plus banks holidays
- 10 days sick pay
- 5% employer contribution Pension and 3% employee, 8% in total
- Private health & dental insurance (after 2 years service)
- Cycle to work
- Flexi time
- Discounted gympass
- Employee referral program
- Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates
By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.
Tags: Airflow Architecture BigQuery Data governance DataOps Data pipelines Data quality Data warehouse Data Warehousing dbt Engineering GCP Google Cloud HiveQL Machine Learning MLOps Pipelines Privacy Python Snowflake Spark SQL Testing
Perks/benefits: Fitness / gym Health care
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