At a Glance
- Tasks: Design and build scalable data pipelines using AWS technologies for impactful analytics.
- Company: Join a leading tech company focused on innovation and growth.
- Benefits: Competitive salary, flexible work options, and opportunities for professional development.
- Other info: Collaborative team culture with excellent career advancement opportunities.
- Why this job: Tackle complex data challenges and make a real difference in a fast-paced environment.
- Qualifications: Experience in data engineering, ETL processes, and proficiency in programming languages like Python or Java.
The predicted salary is between 70000 - 90000 £ per year.
As a Data Engineer, you will design, build, and operate scalable data pipelines and data models that power customer-facing features and internal analytics.
You’ll solve complex data warehousing and big-data processing challenges using AWS technologies, delivering self-service analytics, infrastructure-as-code, and high-performance ETL/ELT workflows.
You will also develop automated data quality frameworks that validate accuracy, detect anomalies, and increase trust in downstream data products.
In this role, you will partner closely with business, science, and engineering teams to tackle non-standard data problems and deliver high-impact solutions that scale with rapid growth and evolving business needs.
- Key job responsibilities
- Build and optimize data pipelines to ingest and transform data from various sources, including traditional ETL pipelines and event data streams.
- Utilize data from disparate sources to build meaningful datasets for analytics and reporting, focusing on consolidating data from various Prime Video systems.
- Implement big-data technologies (e. g., Redshift, EMR, Spark, SNS, SQS, Kinesis) to optimize processing of large datasets.
- Develop and maintain the team's data platform, including infrastructure-as-code using AWS CDK.
- Work closely with business stakeholders to understand their needs and translate them into technical solutions.
- Analyze business processes, logical data models, and relational database implementations.
- Design and implement automated data processing solutions and data quality controls.
- Collaborate with software engineers to support the data needs of products
- Participate in on-call rotations to support the team's products and data pipelines.
- Optimize data processing and storage solutions to improve performance and reduce costs.
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience working on and delivering end to end projects independently
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or Node JS
- Experience as a data engineer or related specialty (e. g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience with SQL
- Preferred qualifications
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience with Apache Spark / Elastic Map Reduce
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AWS Data Engineer employer: Apex Systems
Apex Systems is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the financial services sector. Employees benefit from comprehensive professional development opportunities, a supportive culture that values analytical thinking, and the chance to work on cutting-edge projects involving risk analytics and regulatory compliance. Located in a vibrant area, the company promotes a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding careers.
