Data Engineer designing and optimizing data solutions for Qualco Intelligent Finance. Focus on data integrity, consistency, and reusability in analytics deliverables within a hybrid environment.
About the role
- Data Engineer developing data solutions for major UK consumer brands. Collaborating with the Product & Technology team to meet diverse data requirements.
Responsibilities
- Develop data solutions to meet company needs.
- Build robust data pipelines to get data where it needs to be.
- Take ownership for delivering engineering tasks on time and to specification.
- Build strong relationships with key stakeholders outside the team.
- Be responsible for data quality and ensuring problems are resolved swiftly.
- Contribute to robust processes and technical best practice.
- Help maintain and improve the data platform and technology.
- Foster skills, share knowledge and cross-train with peers.
Requirements
- Experience as a Data Engineer, Analytics, Software Engineer or Technical Analyst.
- Good knowledge of Python including using Pyspark/Apache Spark.
- Proven experience building and maintaining data pipelines end-to-end.
- Advanced SQL skills.
- Knowledge of one or more data warehouse or lakehouse platforms such as Snowflake, Databricks, MS Synapse.
- Experience with a cloud platform (Azure/GCP/AWS)
- Experience with Code control/Git
- Have used an orchestration tool, such as ADF, Airflow, Glue or Data Factory
- Advantageous, but not required:
- Databricks
- DBT
- CI\CD
- Atlassian (Jira, Confluence)
Benefits
- A relaxed working environment with regular socials including a summer festival
- Supportive well-being initiatives and benefits, talks & workshops, and Mental Health First aiders & Champions
- 25 days holiday plus a day for your birthday. Our offices will be closed between Christmas and New Year’s which are in addition to your annual entitlement
- Tailored training and development through both our inhouse learning platform and LinkedIn Learning
- A progressive and transparent culture focused on your development
- Flexible / hybrid working plus early finish Fridays
- Cycle to work scheme
- Enhanced Family Policies including paternity, adoption and surrogacy leave. We also provide a pregnancy loss, fertility, and carers policy
- Competitive pension plans and Life Assurance
- A newly renovated modern office with lots of collaborative spaces
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Architect leading data architecture and design for LifeByte's technology ecosystem. Collaborating with multiple teams to ensure robust data governance, compliance, and innovative strategies.
Senior Data Engineer building and managing data pipelines at Immediate Media. Collaborating with cross - functional teams to deliver robust data solutions and ensure data quality.
Data Engineer Team Lead at iKnowHow S.A leading Data Engineering team for outsourced projects. Driving scalable data solutions and fostering team collaboration with technical expertise.
Associate Data Engineer undergoing training in data engineering tools and collaborating with senior engineers on projects. Hands - on experience with real - world datasets and cloud - based platforms.
Data Engineer developing data infrastructures and pipelines for Motive's Enterprise clients. Collaborating across teams to enhance data processing with modern tools and frameworks.
Senior Data Engineer writing production code and maintaining data pipelines for commercial banking insights. Collaborating with other teams to deliver powerful data solutions.
Lead Data Engineer responsible for designing and implementing data solutions. Work with AWS and Snowflake in a global data and AI company headquartered in New York.
Data Engineer designing and optimizing ETL workflows using Snowpark. Collaborating with the CTO to enhance parcel shipping analytics software.
Senior Data Engineer developing ingestion, ETL & ELT processes with Azure Synapse at Indra Group. Supporting data solutions and compliance in a collaborative hybrid work environment.