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Contract Data Engineer
AND Digital. Develop data pipelines that support decision-making, deliver insights, or enable sophisticated data science applications .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in developing data pipelines and applying data quality practices to support decision-making and data science applications. Experienced in cloud technologies and data engineering, with a strong focus on collaboration and problem-solving in multidisciplinary teams.
Highest-signal resume keywords
Data EngineeringPython ProgrammingSQL CodingSnowflakeAzure DataBricks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData Quality PracticesDataOps ConceptsAI Data UsageCloud Platform Exposure
Soft Skills
Clear CommunicationProblem SolvingAdaptabilityCollaborationTrust Building
Tools & Technologies
AWSAzureGCPDynamoDBRedshiftKinesis PipelinesGlueLambdaQuickSight
Tech Stack
Tools & technologiesAmazon RedshiftAWSAzureCloudDynamoDBGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Develop data pipelines that support decision-making, deliver insights, or enable sophisticated data science applications
- Work hands-on with data, applying data quality, flow, and information-organization practices
- Help clients solve complex technology challenges and build lasting capability
- Collaborate with clients, teammates, and multidisciplinary teams
- Register interest to join the Birmingham contractor network
Requirements
What you’ll need- Experienced Data Engineer
- Experience coding in Python and SQL
- Solid experience with Snowflake and Azure DataBricks
- Good understanding of AI usage of data
- Exposure to at least one cloud platform: AWS, Azure, or GCP
- Experience with associated cloud technologies, such as DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, or QuickSight
- Experience with DataOps concepts
- Ability to produce high-quality work that delivers real value
- Ability to navigate ambiguity and solve complex problems collaboratively
- Clear communication and ability to build trust with clients and teammates
- Pragmatic, adaptable, and outcome-focused approach
- Willingness to keep learning
- Comfortable working in low-ego, multidisciplinary teams