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Lead Data Engineer
hace 2 semanas
About Us
Your Role
We are looking for a Lead Data Engineer that will design, develop and maintain database architecture and code initiatives supporting internal and third-party software solutions, delivering excellent products in scope and on time, and meeting current and long-term business needs for the business area. This role is pivotal in delivering high-quality, performant, and compliant data solutions that meet the business's current and future needs, particularly for our energy commodities and pricing business units. Participate in an agile team of motivated, driven, high-energy engineers, building trust and confidence with team members and business stakeholders. Lead, mentor, and coach other data engineers to build stronger and faster teams.
Your Responsibilities
As a solution-oriented Lead Data Engineer, you will lead efforts in Data Governance, focusing on data ingestion into Snowflake, master and reference data management, and data quality automation for our price reporting teams. You will deploy, administer, and enhance data models for metadata and master data systems, collaborating closely with product teams to deliver timely, effective, high-performance solutions. This role involves designing scalable data architectures and automated pipelines for efficient data ingestion and quality assurance. By delivering solutions for business data requirements, identifying data needs, and sourcing relevant data, you will enable architectures that support product enhancements and revenue generation. As a leader, you will coach and mentor team members, driving individual and team development. Future opportunities include thought leadership for using AI to automate internal processes.
Your Expertise
- Degree in computer science, related technical field, or equivalent experience
- Minimum of 4 years database developer experience (SQL Server or equivalent)
- Ability to design and create advanced data models for the integration of multiple data sets and systems
- Ability to write SQL queries and statements to explore source data and data issues
- Working knowledge of cloud data technologies and architecture
- Working knowledge of Python for data analysis and automation
- Working knowledge of building CI/CD pipelines for code deployment
- Proficiency in BI tooling, Power BI preferred
- Deep knowledge of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes, with expertise in designing, developing, and optimizing pipelines (i.e., Glue, Airflow) for Snowflake
- Experience with Snowflake-specific SQL, including schema design, data modeling, and query optimization to ensure efficient performance
- Familiarity with data-specific unit testing frameworks
- Knowledge of metadata management, reference data management, master data management and data quality
- Must speak and write in English fluently; Effective communicator
Does this sound like you?
- A strong analytical thinker with a love for planning and organization who can manage competing demands with mínimal supervision
- A self-starter with a never-ending curiosity to learn and solve problems
- A critical thinker, with mad problem-solving skills
- A team player with great interpersonal and communication skills
- A structured developer, with good time-management skills
If these things strike a chord with you, we should talk.
We’d also love to hear about your experiences with any of the following:
- Degrees, Certifications, and/or awards/recognition that you have achieved
- Knowledge of SDLC, Agile methodology and/or SCRUM
- Experience working with scripts under source control (Git/TFVC/Mercurial/Svn/etc)
- Experience being part of a continuous integration and deployment process
- Experience using database monitoring tools (like tools from SolarWinds or RedGate)
**Our Benefits**
- Pension Scheme: Company contributes up to 8% of your salary with matching contributions.
- Healthcare Coverage: Comprehensive health plan with unlimited coverage, including outpatient care, dental, and maternity.
- Life & Disability Insurance: Coverage from day one, including life insurance at 2X salary and accident coverage up to 4X salary.
- Wellness Programs: Access to wellness platforms, mindfulness apps, and free fitness classes.
- Meal & Teleworking Allowance: Monthly meal card and teleworking allowance.
- Flexible Working: Ability to work from home 2 days per week with the option to work remotely for 1 week per quarter.
- Family Care Support: Up to 4 weeks of paid compassionate leave and a generous reimbursement for emergency care.
- Referral Bonus: Earn a bonus for recommending great talent to join us.
Current Colleagues
Business Area: Dow Jones - OPIS
Job Category: Data Analytics/Warehousing & Business Intelligence
Union Status:
Non-Union role
Since 1882, Dow Jones has been finding new ways to bring information to the world’s top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to
