As a Senior Data engineer, you are a subject matter expert who is curious and an innovative thinker to mentor young professionals. You are a key person to convert Vision and Data Strategy for IT solutions and deliver them. With your knowledge you will help create data-driven thinking within the organization, not just within IT teams, but also in the wider Shell stakeholder community.
n Communicate with both technical developers and business managers and gain respect and trust of leaders and staff.
n Actively deliver the roll-out and embedding of Data Foundation initiatives in support of the key business programs advising on the technology and using leading market standard tools.
n Coordinate the change management process, incident management and problem management process.
n Ensure traceability of requirements from Data through testing and scope changes, to training and transition.
n Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery.
Being Our Team Member You will be an asset in our team bringing deep technical skills and capabilities to become a key part of projects defining the data journey in Shell, keen to engage, network and innovate in collaboration with companywide teams. We focus on continuous learning of new technologies to make you future ready.
n University degree in any IT discipline
n Minimum 7+ years of experience in the IT industry
n Proven technology champion in working with relational, Data warehouses databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience/Knowledge in working with NoSQL databases and can create E2E pipelines.
n Highly Experienced in building and optimizing complex queries. Good with manipulating, processing and extracting value from large, disconnected datasets.
n Proven Experience in working any one of the data engineering technologies and ADLS, ADF, Azure Databricks, Azure SQL, Synapse, SAP HANA. Your experience in handling big data sets and big data technologies will be an asset.
n Proven champion with in-depth knowledge of any one of the scripting languages: Python, SQL, Spark-SQL/ PySpark.
n Very Good understanding in Data Foundation initiatives, like Modelling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.
We value Leadership in Shell and have opportunities for you to explore, develop and build on your abilities. As part of our team, you will:
n Be self-motivated, innovative, and very good in taking up new initiatives and driving them to closure.
n Communicate skilfully with both technical developers, architects, and business stake holders.
n Understand well- data foundation initiatives like data modelling, data quality, data governance, data maturity assessments and data strategy in support of the key business stake holders.
n Work with source control technologies (such as GITHUB, Azure DevOps)
n Have experience in working with AGILE, KANBAN methodologies.
Nice to Have Skills:
n Previously created or enhanced CI/CD build and releases pipelines.
n Experience in working with scripting languages such as YAML, PowerShell, Terraform etc.
n Experience with big data tools: Kafka, Hadoop, Spark and similar technologies. Experience with stream-processing systems.
n Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow and more.
n Core Python skills like: Numpy, Panda, Django
n Certification in Azure