Company Description
Version 1 has celebrated over 26 years in the IT industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1.
We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.
As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.
Job Description
This is an exciting opportunity for an experienced developer of large-scale data solutions. You will join a team delivering a transformative cloud hosted data platform for a key Version 1 customer.
You will have a proven track record as a senior/self-starting data engineer in implementing data ingestion and transformation pipelines for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, specifically AWS data services, to play an important role in developing and delivering early proofs of concept and production implementation.
You will ideally have experience in building solutions using a variety of ETL tools & AWS and Azure services, and a proven track record in delivering high quality work to tight deadlines.
Your main responsibilities will be:
- Designing and implementing highly performant data ingestion & transformation pipelines from multiple sources using AWS service including AWS S3, AWS RDS, AWS Glue, AWS Redshift, AWS EMR, AWS Kinesis, AWS Lambda, AWS Managed Kafka, AWS Sagemaker, AWS Athena.
- Developing scalable and re-usable frameworks for ingestion and transformation of large data sets using Databricks and Python.
- Solid experience in AWS EMR or open-source equivalents (e.g. Spark).
- Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times.
- Working with other members of the project team to support delivery of additional project components (Reporting tools, API interfaces, Search).
- Evaluating the performance and applicability of multiple tools against customer requirements.
Qualifications
- Direct experience of building data solution using AWS services and Databricks.
- Hands on experience designing and delivering solutions using the using AWS service including AWS S3, AWS RDS, AWS Glue, AWS Redshift, AWS Kinesis, AWS Lambda, AWS Managed Kafka, AWS Sagemaker, AWS Athena.
- Experience building data warehouse solutions using ETL / ELT tools such as AWS Glue, SQL Server Integration Services (SSIS), Talend.
- Experience with AWS Kinesis, AWS Managed Kafka for use with streaming data / event-based data.
- Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J).
- Experience working with structured and unstructured data including imaging & geospatial data.
- Experience with data pipeline and workflow management tools: e.g. Airflow.
- Experience with object-oriented/object function scripting languages: Python, Java, etc.
- Expertise in data modelling, data warehouse design and data lake concepts and practices.
- Experience working in a Dev/Ops environment with tools such as Microsoft Visual Studio Team Services, Chef, Puppet or Terraform.
Additional Information
Location: This role can be delivered in a hybrid nature from one of these offices Dublin, Belfast, Birmingham, Manchester, Edinburgh or London.
At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability.
One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.
We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.
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