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You will be updated with latest job alerts via emailJOB TITLE: Senior Data Engineer
Dow Jones Location: Barcelona Job ID: TBD
About Us
OPIS a Dow Jones company is one of the worlds most comprehensive sources for petroleum pricing and news information. OPIS provides realtime and historical spot wholesale/rack and retail fuel prices for the refined products renewable fuels and natural gas and gas liquids (LPG) industries. We deliver awardwinning news market intelligence and transparency to the entire refined energy marketplace and companies looking to go carbon neutral. At its core OPIS uses a set of complex IT systems and tools reliably handling huge amounts of data and providing customers with business applications to use this data as efficiently as possible.
Your Role
The OPIS Data Science & Analytics team is a collaborative group of Data Scientists Data Analysts and Data Engineers dedicated to tackling intricate data challenges. Our team leverages extensive industry knowledge robust analytical skills and a practical approach to address our organizations most complex business dilemmas. The team focuses on developing and deploying AI ML and data science solutions. This is a unique opportunity to join a fastgrowing team that will become an important part of the global OPIS team. You will work closely with the OPIS IT HQ based in Gaithersburg US Romania Poland and with your remote colleagues.
Your Responsibilities
As an experienced and solutionoriented Senior Data Engineer you will design and develop database and ML architecture to process large data volumes and operationalize complex ML models. Youll optimize and automate data pipelines using SQL and Python to integrate data across disparate sources. You will also develop backend integrations between BI tools and data sources deploy ML code using AWS and CI/CD pipelines and support AI ML and analytics solutions. Working within an Agile team you will be a leader coaching mentoring and training team members driving both employee and team development and growth.
Your Expertise
Degree in computer science related technical field or equivalent experience
Minimum of 3 years of experience in data management technologies (Microsoft SQL Server Postgres Snowflake)
Experience with advanced SQL coding and data modeling to integrate systems
Experience writing Python or PySpark for ML processing data analysis and automation
Experience in BI visualization development such as Power BI Tableau or Looker
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 Big Data technologies such as Spark AWS EMR
Working knowledge of building CI/CD pipelines for code deployment
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 minimal supervision
A selfstarter with a neverending curiosity to learn and solve problems
A critical thinker with mad problemsolving skills
A team player with great interpersonal and communication skills
A structured developer with good timemanagement skills
If these things strike a chord with you we should talk.
Wed 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 AI ML and Data Science tools
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
If you are currently employed by Dow Jones please apply internally via the Workday internal careers site.
Reasonable accommodation: Dow Jones Making Careers Newsworthy We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity or expression pregnancy age national origin disability status genetic information protected veteran status or any other characteristic protected by law. EEO/AA/M/F/Disabled/Vets. We strongly encourage applications from all qualified individuals including women people with disabilities and those from underrepresented groups. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application due to a disability email us at Please put Reasonable Accommodation in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.
Business Area:
Dow Jones OPISJob Category:
Data Analytics/Warehousing & Business IntelligenceUnion Status:
NonUnion roleRequired Experience:
Senior IC
Full-Time