Ref: 310521WHSDE_1623059497

Senior Data Engineer - Dublin

Republic of Ireland, Dublin

Job description

Senior Data Engineer - Dublin

310521WHSDE_1623059497

Senior Data Engineer - Dublin

80k-100k Euro DOE + Outstanding Benefits Package

REMOTE WORKING OPTION IN IRELAND

Fast Moving Interview Process*



The Opportunity:

Through our capabilities, our customers are boosting employee engagement, building more inclusive work-forces, and increasing performance. Our customers are seeing significant uplift on engagement as a result of the work the team are doing.

We are looking for an experienced Senior Data Engineer. and you can put your experience to good use, to build a product that will have a direct impact on people's lives. One of the various benefits of working on this team is that results of our work are measurable, and we can see tangible proof of the impact of our work.

We work in a collaborative environment, with multi-disciplined people. Our environment is based on a culture of recognition, celebration, and conversations. Our people are our greatest assets. We celebrate them. We thank them. We support their growth and development.



Company Tech stack:

AWS, Java, Python, React, Fargate, ActiveMQ, Oracle/PostgreSQL/Redshift.



What you will Deliver:

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You will drive the strategy and technology to provide user data throughout our engagement tech stack.
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Take responsibility for ingesting data into company data lakes and provide frameworks and services for operating on that data.
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Building data pipelines and data flows
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Work with various teams to extract, transform, and load data from various of data sources using SQL and AWS big data technologies etc.
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Develop and implement processes to ensure data accuracy and integrity.
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Collaboration with architects, engineers etc, to ensure that the products are of the highest quality and meets the customer requirements.
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Collaboration and communication well with the cloud infrastructure team.



Your Skills:

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5+ years of industry experience in in any of... software development, data engineering, business intelligence, data science etc.
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Experience in manipulating, processing, and extracting value from large data sets.
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Hands-on experience with data processing tools/platforms/languages such as (Py)Spark, SQL, Hadoop etc.
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Hands-on experience with AWS services such as Elastic MapReduce, Glue, S3 etc.
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Redshift, Kafka and Kinesis knowledge and experience is a Beneficial.
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Experience in performing data quality analysis, and presentation results to key stakeholders.
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Posses good communication and stake-holder engagement skills.



The Benefits:

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25 days annual leave, increasing annually.
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Company plan VHI Health Care + Dental cover for you and your dependants.
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Pension.
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Employee recognition programs.
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Discounted gift certificates.
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Discounted Tax Saver Travel cards/free car parking.
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Income Protection
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Life Assurance
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Tuition Reimbursement Scheme
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Access to company University
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Free breakfast cereal, fruit, tea/coffee, fantastic catered events and wellness activities throughout the year!



To apply for this role, please send an up-to-date CV to a.quigley@jeffersonfrank.com or call 0191 300 9229 for a confidential chat. LinkedIn = https://www.linkedin.com/in/adam-quigley-945824203/

Jefferson Frank is the Amazon Web Services (AWS) recruiter of choice. We work with organizations worldwide to find and deliver the best AWS professionals on the planet. Backed by private equity firm TPG Growth, we have a proven track record servicing the AWS recruitment market and, to date, have worked with over 30,000 organizations globally.